Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring a Forward Deployed Software Engineer to sit at the frontier with our most important customers — technical enough to be trusted directly with a sophisticated customer's engineering team, and the generalist who figures out what they need and owns how we deliver it. This is a mid-to-staff, high-autonomy role: less classic Sales Engineer, more Palantir-style Forward Deployed Engineer, judged on ownership and delivery quality rather than a narrow job description.
Be the technical point of contact for a set of customers, credible enough to sit across from their engineering team and be trusted immediately.
Understand what each customer is trying to accomplish, determine what data or delivery they need, and own how we build and ship it.
Hold a strong customer support and SLA bar — respond fast, communicate clearly, close the loop on every delivery.
Own the full delivery process end to end, not just your own piece of it, and find what's slow, fragile, or manual.
Turn what you learn on one customer into durable improvements — tooling, process, standards — that make the next delivery faster and more reliable.
Work directly with engineering, data, and operations teams to unblock delivery and escalate what needs to change upstream.
Bring outside-in judgment back to the product and delivery systems — you're often the first to see where they break under real customer conditions.
Must-have:
Technical depth sufficient to earn credibility directly with a sophisticated customer's engineering team — not a demo-only or slide-based technical presence.
Direct, hands-on experience owning a customer or partner relationship end-to-end, not just supporting one from behind a ticket queue.
High agency and a strong generalist bent — comfortable moving across data, delivery process, and whatever else the problem needs, taking on problems beyond your defined scope without waiting to be asked.
Nice-to-have:
Startup experience, ideally as a founding or early engineer.
A track record of improving how a team delivers, not just delivering yourself.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring a Forward Deployed Software Engineer to sit at the frontier with our most important customers — technical enough to be trusted directly with a sophisticated customer's engineering team, and the generalist who figures out what they need and owns how we deliver it. This is a mid-to-staff, high-autonomy role: less classic Sales Engineer, more Palantir-style Forward Deployed Engineer, judged on ownership and delivery quality rather than a narrow job description.\n\n\n\n\nWHAT YOU'LL DO\n\n - Be the technical point of contact for a set of customers, credible enough to sit across from their engineering team and be trusted immediately.\n\n - Understand what each customer is trying to accomplish, determine what data or delivery they need, and own how we build and ship it.\n\n - Hold a strong customer support and SLA bar — respond fast, communicate clearly, close the loop on every delivery.\n\n - Own the full delivery process end to end, not just your own piece of it, and find what's slow, fragile, or manual.\n\n - Turn what you learn on one customer into durable improvements — tooling, process, standards — that make the next delivery faster and more reliable.\n\n - Work directly with engineering, data, and operations teams to unblock delivery and escalate what needs to change upstream.\n\n - Bring outside-in judgment back to the product and delivery systems — you're often the first to see where they break under real customer conditions.\n\n\nWHAT YOU BRING\n\nMust-have:\n\n - Technical depth sufficient to earn credibility directly with a sophisticated customer's engineering team — not a demo-only or slide-based technical presence.\n\n - Direct, hands-on experience owning a customer or partner relationship end-to-end, not just supporting one from behind a ticket queue.\n\n - High agency and a strong generalist bent — comfortable moving across data, delivery process, and whatever else the problem needs, taking on problems beyond your defined scope without waiting to be asked.\n\nNice-to-have:\n\n - Startup experience, ideally as a founding or early engineer.\n\n - A track record of improving how a team delivers, not just delivering yourself.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$185K – $230K • Offers Equity","scrapeableCompensationSalarySummary":"$185K - $230K","compensationTiers":[{"id":"b753a531-4636-445f-8c4e-8530313b6e8d","tierSummary":"$185K – $230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3fc77157-0005-48b5-a10b-38320edbf139","summary":"$185K – $230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":230000},{"id":"976bd026-7110-4de8-8b17-93b98c16b19d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"70ba1666-0082-432e-8f05-5eec3742d18f","title":"Online Calibration & SLAM Engineer","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-01T23:08:17.207+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/70ba1666-0082-432e-8f05-5eec3742d18f","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/70ba1666-0082-432e-8f05-5eec3742d18f/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
We're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp, so a device that shipped in spec can fall out of it. You'll build the systems that catch and correct that drift: online (in-pipeline) camera calibration, video-based calibration refinement, fleet-wide drift monitoring, and the tools operations and researchers use to track it, all built on solid SLAM/VIO foundations.
This is a production role, not pure research: you'll own systems that run across the real fleet. You'll work directly with the CVML team and coordinate with our factory-calibration engineer and hardware team. Because the work runs on real, hardware-synced recordings and is validated on physical devices, this is an on-site role with periodic travel to our hardware site.
Own online calibration: Develop and maintain continuous, in-pipeline camera calibration that refines extrinsics from recorded, hardware-synced, uncompressed video and IMU — the pipeline equivalent of on-device calibration, so fixes ship without a device software update.
Rebuild video-based calibration: Fix and harden the video-based calibration refinement system across the fleet, including the monocular wrist-cam path, and drive it against real benchmarks.
Monitor the fleet: Build the monitoring and metrics tracking that detects calibration drift across every device, flags devices for recall, and owns the calibration database and version history.
Make SLAM carry calibration: Maintain and improve the SLAM/VIO that online calibration rides on, and have it emit calibration-related error as a first-class output.
Bridge to hardware: Coordinate with the factory-calibration engineer and the China hardware team on the intrinsics limit (online refinement fixes extrinsics; intrinsics need a marker at the factory), IMU noise and bias parameters, temporal synchronization, and validation runs that avoid local minima.
Build the tooling: Ship interactive tools (Rerun / Gradio) that visualize trajectories, drift over time, reprojection error, and per-device calibration metrics for operations and researchers.
What You Bring
Must-have:
SLAM / VIO / SfM depth: 5+ years of hands-on experience building, maintaining, or improving SLAM, visual-inertial odometry, and Structure-from-Motion pipelines, including systems running in production.
Continuous and multi-sensor calibration: Hands-on experience with online or continuous calibration and rigorous camera + IMU calibration: extrinsics, intrinsics and their limits, IMU noise density and random-walk bias, lens-distortion models, and temporal synchronization.
Fleet and data-quality mindset: You're comfortable owning calibration across many noisy, real-world devices, and you build the monitoring that catches drift before customers do.
Multi-view geometry and optimization: An intuitive grasp of the linear algebra, optimization, and first principles behind spatial tracking.
Engineering rigor: Clean, efficient, scalable C++ and Python.
Cross-border collaboration: You can specify calibration requirements clearly to a hardware team across time zones.
Nice-to-have:
Markerless calibration: Experience with video-based or markerless calibration and refinement systems.
Calibration frameworks: Sensor-fusion and calibration tools such as Kalibr, GTSAM, or Ceres Solver.
3D vision and ML libraries: OpenCV, COLMAP, PyTorch, and FFmpeg.
Fleet observability: Monitoring at scale, including calibration databases and versioning.
Spatial tooling: Rerun, Gradio dashboards, or trajectory and dataset browsers.
Scale: ML infrastructure or data pipelines that operate at scale.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nWe're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp, so a device that shipped in spec can fall out of it. You'll build the systems that catch and correct that drift: online (in-pipeline) camera calibration, video-based calibration refinement, fleet-wide drift monitoring, and the tools operations and researchers use to track it, all built on solid SLAM/VIO foundations.\n\nThis is a production role, not pure research: you'll own systems that run across the real fleet. You'll work directly with the CVML team and coordinate with our factory-calibration engineer and hardware team. Because the work runs on real, hardware-synced recordings and is validated on physical devices, this is an on-site role with periodic travel to our hardware site.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own online calibration: Develop and maintain continuous, in-pipeline camera calibration that refines extrinsics from recorded, hardware-synced, uncompressed video and IMU — the pipeline equivalent of on-device calibration, so fixes ship without a device software update.\n\n - Rebuild video-based calibration: Fix and harden the video-based calibration refinement system across the fleet, including the monocular wrist-cam path, and drive it against real benchmarks.\n\n - Monitor the fleet: Build the monitoring and metrics tracking that detects calibration drift across every device, flags devices for recall, and owns the calibration database and version history.\n\n - Make SLAM carry calibration: Maintain and improve the SLAM/VIO that online calibration rides on, and have it emit calibration-related error as a first-class output.\n\n - Bridge to hardware: Coordinate with the factory-calibration engineer and the China hardware team on the intrinsics limit (online refinement fixes extrinsics; intrinsics need a marker at the factory), IMU noise and bias parameters, temporal synchronization, and validation runs that avoid local minima.\n\n - Build the tooling: Ship interactive tools (Rerun / Gradio) that visualize trajectories, drift over time, reprojection error, and per-device calibration metrics for operations and researchers.\n\nWhat You Bring\n Must-have:\n\n - SLAM / VIO / SfM depth: 5+ years of hands-on experience building, maintaining, or improving SLAM, visual-inertial odometry, and Structure-from-Motion pipelines, including systems running in production.\n\n - Continuous and multi-sensor calibration: Hands-on experience with online or continuous calibration and rigorous camera + IMU calibration: extrinsics, intrinsics and their limits, IMU noise density and random-walk bias, lens-distortion models, and temporal synchronization.\n\n - Fleet and data-quality mindset: You're comfortable owning calibration across many noisy, real-world devices, and you build the monitoring that catches drift before customers do.\n\n - Multi-view geometry and optimization: An intuitive grasp of the linear algebra, optimization, and first principles behind spatial tracking.\n\n - Engineering rigor: Clean, efficient, scalable C++ and Python.\n\n - Cross-border collaboration: You can specify calibration requirements clearly to a hardware team across time zones.\n\nNice-to-have:\n\n - Markerless calibration: Experience with video-based or markerless calibration and refinement systems.\n\n - Calibration frameworks: Sensor-fusion and calibration tools such as Kalibr, GTSAM, or Ceres Solver.\n\n - 3D vision and ML libraries: OpenCV, COLMAP, PyTorch, and FFmpeg.\n\n - Fleet observability: Monitoring at scale, including calibration databases and versioning.\n\n - Spatial tooling: Rerun, Gradio dashboards, or trajectory and dataset browsers.\n\n - Scale: ML infrastructure or data pipelines that operate at scale.\n\n\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$200K – CA$230K • Offers Equity","scrapeableCompensationSalarySummary":"CA$200K - CA$230K","compensationTiers":[{"id":"b44ace46-74e7-4cd8-a07c-c7ce431957e0","tierSummary":"CA$200K – CA$230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3516bdf7-d0c5-456d-b5f4-01b2991582ce","summary":"CA$200K – CA$230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"id":"add39a07-1b1d-4a46-a6d0-190e1ffd6d21","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"77dec242-3e71-4684-b060-6f6a854492b8","title":"Senior Software Engineer, Backend","department":"Software & Data","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}}],"publishedAt":"2026-06-01T11:44:23.309+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/77dec242-3e71-4684-b060-6f6a854492b8","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/77dec242-3e71-4684-b060-6f6a854492b8/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We are hiring a Senior Backend Engineer to build the systems that ingest, process, store, and serve petabyte-scale video and sensor data.
This is a true senior role. You will own architecture and reliability for production services that operate at extreme scale: heavy cloud networking, distributed GPU compute (thousands of GPUs), millions of GPU-hours, and massive video pipelines.
Ideal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ads/streaming, CDN/edge video, large-scale media processing).
Design and build high-throughput services for upload/ingest, processing, indexing, retrieval, and access control.
Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and model training.
Own service quality end-to-end: correctness, latency, uptime, capacity planning, and cost.
Build observability (metrics/logs/tracing), incident response, and operational tooling that prevents recurring failures.
Build systems that coordinate large jobs across cloud infrastructure and GPU fleets.
Make data movement reliable and fast: storage I/O, network throughput, queuing, retries, idempotency, and backpressure.
7+ years of backend/software engineering experience (or equivalent impact).
Strong system design fundamentals and proven experience operating production systems.
Excellent debugging and operational judgment (you can find the root cause, not just patch symptoms).
Strong Signals
You have built backend systems for video/media at scale (streaming, transcoding, processing, storage, CDN/edge, ingestion, metadata/search).
You think in terms of failure modes, invariants, and clean interfaces.
You write maintainable systems with crisp docs and strong ownership.
Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.
Operate at a scale that forces great engineering: data volume, networking, reliability, and compute orchestration.
High ownership and direct impact across product, operations, and research.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe are hiring a Senior Backend Engineer to build the systems that ingest, process, store, and serve petabyte-scale video and sensor data.\n\nThis is a true senior role. You will own architecture and reliability for production services that operate at extreme scale: heavy cloud networking, distributed GPU compute (thousands of GPUs), millions of GPU-hours, and massive video pipelines.\n\nIdeal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ads/streaming, CDN/edge video, large-scale media processing).\n\n\n\n\nWHAT YOU’LL WORK ON\n\n\nVIDEO + DATA PLATFORM BACKEND\n\n - Design and build high-throughput services for upload/ingest, processing, indexing, retrieval, and access control.\n\n - Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and model training.\n\n\nSCALE, RELIABILITY, AND QUALITY\n\n - Own service quality end-to-end: correctness, latency, uptime, capacity planning, and cost.\n\n - Build observability (metrics/logs/tracing), incident response, and operational tooling that prevents recurring failures.\n\n\nDISTRIBUTED COMPUTE + NETWORKING\n\n - Build systems that coordinate large jobs across cloud infrastructure and GPU fleets.\n\n - Make data movement reliable and fast: storage I/O, network throughput, queuing, retries, idempotency, and backpressure.\n\n\nWHO YOU ARE\n\n\nREQUIRED BACKGROUND\n\n - 7+ years of backend/software engineering experience (or equivalent impact).\n\n - Strong system design fundamentals and proven experience operating production systems.\n\n - Excellent debugging and operational judgment (you can find the root cause, not just patch symptoms).\n\nStrong Signals\n\n - You have built backend systems for video/media at scale (streaming, transcoding, processing, storage, CDN/edge, ingestion, metadata/search).\n\n - You think in terms of failure modes, invariants, and clean interfaces.\n\n - You write maintainable systems with crisp docs and strong ownership.\n\n\nWHY THIS ROLE\n\n - Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.\n\n - Operate at a scale that forces great engineering: data volume, networking, reliability, and compute orchestration.\n\n - High ownership and direct impact across product, operations, and research.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$180K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"4e2858d7-00de-48f1-900b-3abb884e74d9","tierSummary":"$180K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"91d0c6fd-fabe-46f6-84ec-82e8cb617033","summary":"$180K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"6a30df71-71b2-4ac1-ac84-68a05179fed3","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"d0002e27-a55e-4c1f-b765-6b34da07e71d","title":"Computer Vision Engineer, 3D","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-01T23:32:38.251+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/d0002e27-a55e-4c1f-b765-6b34da07e71d","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/d0002e27-a55e-4c1f-b765-6b34da07e71d/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're looking for a strong, coding-heavy computer vision engineer to own the classical side of our stack. Our models produce raw per-frame predictions; you own the traditional computer vision, temporal filtering, and inverse kinematics — backed by excellent software engineering — that turn those into clean, rigid, smooth, correctly-calibrated spatial data we can deliver.
You'll partner closely with our research teams — you need to understand the models, but you won't be training them.
Your immediate focus is our 3D hands pipeline, where this work is needed most today. From there you'll be our classical-CV specialist across the organization, brought in wherever geometry, filtering, or pipeline problems come up.
What You'll Do
Own the classical 3D geometry that places reconstructions correctly in space: multi-view geometry, triangulation, PnP, camera calibration, undistortion, and reprojection.
Design and tune temporal filters (low-pass, Kalman-family, interpolation) that remove jitter without losing real motion.
Run inverse kinematics and enforce physical constraints such as bone-length rigidity so reconstructed skeletons stay valid. Build the checks that keep bad frames out of delivery.
Turn model output into clean delivered data, including per-frame results, reports, and the QA metrics that gate delivery, and keep the pipeline running at scale.
Build visualizers and dashboards to inspect trajectories, overlays, and failure cases.
Be the go-to engineer for classical computer-vision problems across the pipeline as they come up.
go-to for classical computer-vision problems elsewhere in the pipeline as they come up.
What You Bring
Must-have:
5+ years of professional experience in software engineering and computer vision.
Strong software engineering. This is a coding-heavy role: clean, efficient, production Python (C++ is a plus).
Solid multi-view geometry: triangulation, PnP, camera calibration, reprojection, and coordinate transforms.
Temporal filtering and signal processing: low-pass and Kalman-family filters, interpolation, and a feel for the trade-off between smoothness and fidelity.
Inverse kinematics and rigid-body or bone-length constraints on articulated structures.
Enough ML to work with deep models such as pose and mesh regressors, including their outputs and failure modes, without training them yourself.
A data-quality mindset: comfortable with noisy real-world data and building QA that catches problems before customers do.
Nice-to-have:
Human pose or mesh reconstruction (hand or body), including keypoint and mesh pipelines.
Depth in Bayesian filtering or state estimation; experience with optimization frameworks such as Ceres or GTSAM.
Building CV tooling such as trajectory visualizers and overlay or QA dashboards.
Stereo, multi-view, or ego-exo capture experience.
Light temporal ML, such as small networks for smoothing or gap-filling.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're looking for a strong, coding-heavy computer vision engineer to own the classical side of our stack. Our models produce raw per-frame predictions; you own the traditional computer vision, temporal filtering, and inverse kinematics — backed by excellent software engineering — that turn those into clean, rigid, smooth, correctly-calibrated spatial data we can deliver.\n\nYou'll partner closely with our research teams — you need to understand the models, but you won't be training them.\n\nYour immediate focus is our 3D hands pipeline, where this work is needed most today. From there you'll be our classical-CV specialist across the organization, brought in wherever geometry, filtering, or pipeline problems come up.\n\n\n\nWhat You'll Do\n\n - Own the classical 3D geometry that places reconstructions correctly in space: multi-view geometry, triangulation, PnP, camera calibration, undistortion, and reprojection.\n\n - Design and tune temporal filters (low-pass, Kalman-family, interpolation) that remove jitter without losing real motion.\n\n - Run inverse kinematics and enforce physical constraints such as bone-length rigidity so reconstructed skeletons stay valid. Build the checks that keep bad frames out of delivery.\n\n - Turn model output into clean delivered data, including per-frame results, reports, and the QA metrics that gate delivery, and keep the pipeline running at scale.\n\n - Build visualizers and dashboards to inspect trajectories, overlays, and failure cases.\n\n - Be the go-to engineer for classical computer-vision problems across the pipeline as they come up.\n\n - go-to for classical computer-vision problems elsewhere in the pipeline as they come up.\n\nWhat You Bring\n Must-have:\n\n - 5+ years of professional experience in software engineering and computer vision.\n\n - Strong software engineering. This is a coding-heavy role: clean, efficient, production Python (C++ is a plus).\n\n - Solid multi-view geometry: triangulation, PnP, camera calibration, reprojection, and coordinate transforms.\n\n - Temporal filtering and signal processing: low-pass and Kalman-family filters, interpolation, and a feel for the trade-off between smoothness and fidelity.\n\n - Inverse kinematics and rigid-body or bone-length constraints on articulated structures.\n\n - Enough ML to work with deep models such as pose and mesh regressors, including their outputs and failure modes, without training them yourself.\n\n - A data-quality mindset: comfortable with noisy real-world data and building QA that catches problems before customers do.\n\nNice-to-have:\n\n - Human pose or mesh reconstruction (hand or body), including keypoint and mesh pipelines.\n\n - Depth in Bayesian filtering or state estimation; experience with optimization frameworks such as Ceres or GTSAM.\n\n - Building CV tooling such as trajectory visualizers and overlay or QA dashboards.\n\n - Stereo, multi-view, or ego-exo capture experience.\n\n - Light temporal ML, such as small networks for smoothing or gap-filling.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$200K – CA$230K • Offers Equity","scrapeableCompensationSalarySummary":"CA$200K - CA$230K","compensationTiers":[{"id":"498e28cb-5209-4027-ab4c-44ff56942364","tierSummary":"CA$200K – CA$230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"4d78a1fc-7b63-452d-accd-1ab037027e2e","summary":"CA$200K – CA$230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"id":"c06bbc71-c621-457c-9e28-5bedace0f2df","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"e587699a-8052-49cd-9306-ff1d8490bdad","title":"Executive Assistant & Office Manager","department":"Finance & Legal","team":"Finance & Legal","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-08T16:53:51.752+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/e587699a-8052-49cd-9306-ff1d8490bdad","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/e587699a-8052-49cd-9306-ff1d8490bdad/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We work directly with robotics hardware partners and commercial operators to place best-in-class robotic systems into real-world environments — hotels, retail, pharmacy, logistics, healthcare, and beyond.
Our work happens on the ground — in commercial environments where execution, technical judgment, and trust determine whether deployments succeed and scale.
Robotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data.
Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.
Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.
Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure.
Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast.
Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.
Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission.
Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives.
We're hiring an Executive Assistant & Office Manager to be the operational backbone of Mecka's New York office and a force multiplier for leadership.
This is not a traditional EA role. We're looking for someone who is sharp, analytical, and commercially minded — someone who can run the office, support executive workflows, and plug into business development and operations work when needed. You'll be a key part of how Mecka functions day-to-day and a trusted extension of the leadership team.
If you thrive in fast-moving environments, hate wasted motion, and want to be close to the action at a company building something that matters — this is the role.
Executive Support
Manage calendars, travel, and logistics for leadership with precision and proactivity
Prepare materials, briefings, and research ahead of key meetings and decisions
Own follow-through on action items — track what was decided, what's due, and what's slipping
Handle sensitive information and communications with discretion and judgment
Office Operations
Own the day-to-day operations of the NYC office — vendor relationships, supplies, facilities, and anything that keeps things running
Set up and maintain systems and processes that make the office efficient and professional
Coordinate events, offsites, team meetings, and visitor logistics
Be the go-to person for anything operational in New York
Business Development Support
Support the BD and sales team with research, outreach coordination, and pipeline tracking
Help prepare decks, briefs, and materials for partner and customer meetings
Assist in managing relationships — tracking touchpoints, following up, keeping things moving
Identify opportunities to improve how we manage and grow commercial relationships
NYC Operations Lead
Serve as the operational point of contact for the New York office
Coordinate across teams — sales, deployments, engineering — to ensure NYC runs smoothly
Flag issues, surface blockers, and solve problems before they escalate
Help onboard new hires and contractors based in New York
Required Experience
3+ years in an EA, chief of staff, operations, or generalist role at a fast-moving company
Demonstrated ability to manage multiple workstreams simultaneously without dropping balls
Strong written and verbal communication — clear, concise, and professional
Comfortable with data, metrics, and analytical work — not just logistics
Experience supporting senior executives or founders directly
Strong Signals
Prior experience at a startup, tech company, or high-growth environment
Exposure to business development, sales operations, or commercial workflows
Has built or improved internal processes, not just maintained them
Comfortable using tools like Notion, Slack, Google Workspace, and CRM platforms
Has operated as a de facto office lead or chief of staff in a previous role
You Are
A natural executor — you see what needs to happen and make it happen
Analytically minded — you bring data and structure to ambiguous problems
Highly organized without being rigid — you adapt fast when priorities shift
Discreet, trustworthy, and professional with sensitive information
Energized by variety — no two days look the same and that's how you like it
Low ego, high output — you care about outcomes, not credit
Be at the center of a fast-growing company doing important work
High trust, high visibility, and direct access to leadership
Real scope — this isn't a gatekeeper role, it's a builder role
Opportunity to grow into broader operations or chief of staff responsibilities over time
Work out of Mecka's New York office alongside a sharp, driven team
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\n\nWe work directly with robotics hardware partners and commercial operators to place best-in-class robotic systems into real-world environments — hotels, retail, pharmacy, logistics, healthcare, and beyond.\n\nOur work happens on the ground — in commercial environments where execution, technical judgment, and trust determine whether deployments succeed and scale.\n\n\nOUR MISSION\n\nRobotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data.\n\nMecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.\n\n\nOUR CULTURE\n\n - Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.\n\n - Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure.\n\n - Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast.\n\n - Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.\n\n - Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission.\n\n - Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives.\n\n\nTHE ROLE\n\nWe're hiring an Executive Assistant & Office Manager to be the operational backbone of Mecka's New York office and a force multiplier for leadership.\n\nThis is not a traditional EA role. We're looking for someone who is sharp, analytical, and commercially minded — someone who can run the office, support executive workflows, and plug into business development and operations work when needed. You'll be a key part of how Mecka functions day-to-day and a trusted extension of the leadership team.\n\nIf you thrive in fast-moving environments, hate wasted motion, and want to be close to the action at a company building something that matters — this is the role.\n\n\nRESPONSIBILITIES\n\nExecutive Support\n\n - Manage calendars, travel, and logistics for leadership with precision and proactivity\n\n - Prepare materials, briefings, and research ahead of key meetings and decisions\n\n - Own follow-through on action items — track what was decided, what's due, and what's slipping\n\n - Handle sensitive information and communications with discretion and judgment\n\nOffice Operations\n\n - Own the day-to-day operations of the NYC office — vendor relationships, supplies, facilities, and anything that keeps things running\n\n - Set up and maintain systems and processes that make the office efficient and professional\n\n - Coordinate events, offsites, team meetings, and visitor logistics\n\n - Be the go-to person for anything operational in New York\n\nBusiness Development Support\n\n - Support the BD and sales team with research, outreach coordination, and pipeline tracking\n\n - Help prepare decks, briefs, and materials for partner and customer meetings\n\n - Assist in managing relationships — tracking touchpoints, following up, keeping things moving\n\n - Identify opportunities to improve how we manage and grow commercial relationships\n\nNYC Operations Lead\n\n - Serve as the operational point of contact for the New York office\n\n - Coordinate across teams — sales, deployments, engineering — to ensure NYC runs smoothly\n\n - Flag issues, surface blockers, and solve problems before they escalate\n\n - Help onboard new hires and contractors based in New York\n\n\nWHO YOU ARE\n\nRequired Experience\n\n - 3+ years in an EA, chief of staff, operations, or generalist role at a fast-moving company\n\n - Demonstrated ability to manage multiple workstreams simultaneously without dropping balls\n\n - Strong written and verbal communication — clear, concise, and professional\n\n - Comfortable with data, metrics, and analytical work — not just logistics\n\n - Experience supporting senior executives or founders directly\n\nStrong Signals\n\n - Prior experience at a startup, tech company, or high-growth environment\n\n - Exposure to business development, sales operations, or commercial workflows\n\n - Has built or improved internal processes, not just maintained them\n\n - Comfortable using tools like Notion, Slack, Google Workspace, and CRM platforms\n\n - Has operated as a de facto office lead or chief of staff in a previous role\n\nYou Are\n\n - A natural executor — you see what needs to happen and make it happen\n\n - Analytically minded — you bring data and structure to ambiguous problems\n\n - Highly organized without being rigid — you adapt fast when priorities shift\n\n - Discreet, trustworthy, and professional with sensitive information\n\n - Energized by variety — no two days look the same and that's how you like it\n\n - Low ego, high output — you care about outcomes, not credit\n\n\nWHY THIS ROLE\n\n - Be at the center of a fast-growing company doing important work\n\n - High trust, high visibility, and direct access to leadership\n\n - Real scope — this isn't a gatekeeper role, it's a builder role\n\n - Opportunity to grow into broader operations or chief of staff responsibilities over time\n\n - Work out of Mecka's New York office alongside a sharp, driven team\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$70K – $85K • Offers Equity","scrapeableCompensationSalarySummary":"$70K - $85K","compensationTiers":[{"id":"31cdad55-d85b-402c-8c7a-cd19a4bbdd57","tierSummary":"$70K – $85K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c0ee29d2-3590-4dd1-bb0a-d15d99ad0760","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"7d26bc22-3195-4c73-8cf5-fae04ab15ee9","summary":"$70K – $85K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":70000,"maxValue":85000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":70000,"maxValue":85000}]}},{"id":"a2fb71b6-bb8e-4d7c-9f87-f537aa6b2114","title":"Forward Deployed Robotics Engineer ","department":"Robotics Deployment","team":"Robotics Deployment","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-01T13:44:51.705+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/a2fb71b6-bb8e-4d7c-9f87-f537aa6b2114","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/a2fb71b6-bb8e-4d7c-9f87-f537aa6b2114/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We’re hiring a Forward Deployment Robotics Engineer based in New York to support robot deployments, data capture, and teleoperation workflows.
This is a hands-on, on-site role. You will be the person physically present during deployments — making sure robots are set up correctly, running smoothly, and capturing data according to requirements.
You’ll work closely with customers, remote engineering teams, and teleop operators to keep deployments moving and issues resolved in real time.
Go on-site for robot deployments, pilots, and tests
Ensure robots are properly set up, calibrated, and operational
Troubleshoot hardware, software, and networking issues on site
Act as the on-site technical owner during deployments
Lead on-site data capture during robot operation
Ensure data is captured correctly, consistently, and at required quality
Monitor sensors, cameras, telemetry, and logs during capture sessions
Identify and resolve issues that could impact data quality
Support teleoperation workflows during deployments
Coordinate with remote teleop operators and engineering teams
Assist with setup, testing, and monitoring of teleop systems
Escalate issues clearly and quickly when needed
Serve as the local point of contact in New York
Provide clear updates on deployment status and issues
Document problems, fixes, and learnings from the field
Help improve deployment and data capture processes over time
Prior experience as a field technician, field engineer, or on-site support at a robotics company
Hands-on experience supporting real robot deployments
Experience leading or supporting data capture operations
Familiarity with teleoperation systems or remote robot operation
Comfortable working with Linux-based systems, cameras, sensors, and networking
Highly hands-on and comfortable working on-site
Calm under pressure and able to troubleshoot in real time
Detail-oriented and quality-focused
Clear communicator between field teams and remote engineering
Willing to travel locally to deployment sites as needed
Be directly involved in real-world robotics deployments
Own on-site execution and data capture quality
Work closely with cutting-edge robotics systems and teams
High responsibility and autonomy in a fast-moving environment
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe’re hiring a Forward Deployment Robotics Engineer based in New York to support robot deployments, data capture, and teleoperation workflows.\n\nThis is a hands-on, on-site role. You will be the person physically present during deployments — making sure robots are set up correctly, running smoothly, and capturing data according to requirements.\n\nYou’ll work closely with customers, remote engineering teams, and teleop operators to keep deployments moving and issues resolved in real time.\n\n\n\n\nWHAT YOU'LL DO\n\n\nROBOT DEPLOYMENT & ON-SITE SUPPORT\n\n - Go on-site for robot deployments, pilots, and tests\n\n - Ensure robots are properly set up, calibrated, and operational\n\n - Troubleshoot hardware, software, and networking issues on site\n\n - Act as the on-site technical owner during deployments\n\n\nDATA CAPTURE LEADERSHIP\n\n - Lead on-site data capture during robot operation\n\n - Ensure data is captured correctly, consistently, and at required quality\n\n - Monitor sensors, cameras, telemetry, and logs during capture sessions\n\n - Identify and resolve issues that could impact data quality\n\n\nTELEOPERATION SUPPORT\n\n - Support teleoperation workflows during deployments\n\n - Coordinate with remote teleop operators and engineering teams\n\n - Assist with setup, testing, and monitoring of teleop systems\n\n - Escalate issues clearly and quickly when needed\n\n\nCOMMUNICATION & REPORTING\n\n - Serve as the local point of contact in New York\n\n - Provide clear updates on deployment status and issues\n\n - Document problems, fixes, and learnings from the field\n\n - Help improve deployment and data capture processes over time\n\n\nWHAT YOU BRING\n\n\nREQUIRED EXPERIENCE\n\n - Prior experience as a field technician, field engineer, or on-site support at a robotics company\n\n - Hands-on experience supporting real robot deployments\n\n - Experience leading or supporting data capture operations\n\n - Familiarity with teleoperation systems or remote robot operation\n\n - Comfortable working with Linux-based systems, cameras, sensors, and networking\n\n\nYOU ARE\n\n - Highly hands-on and comfortable working on-site\n\n - Calm under pressure and able to troubleshoot in real time\n\n - Detail-oriented and quality-focused\n\n - Clear communicator between field teams and remote engineering\n\n - Willing to travel locally to deployment sites as needed\n\n\nWHY THIS ROLE\n\n - Be directly involved in real-world robotics deployments\n\n - Own on-site execution and data capture quality\n\n - Work closely with cutting-edge robotics systems and teams\n\n - High responsibility and autonomy in a fast-moving environment\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$120K – $180K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $180K","compensationTiers":[{"id":"bfbf4230-b041-49f1-b94a-7f5ea5f8726a","tierSummary":"$120K – $180K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6a92d93b-3c94-4edf-a9ac-94a442c4b04a","summary":"$120K – $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":180000},{"id":"4b834173-0dcc-4727-ba0a-966834b7f56d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":180000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"43669b6c-555d-4645-b828-7b1f3e4b86c6","title":"Research Scientist- SLAM & VIO","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-01T14:25:17.661+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/43669b6c-555d-4645-b828-7b1f3e4b86c6","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/43669b6c-555d-4645-b828-7b1f3e4b86c6/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
While our existing perception division handles classical state estimation and VIO, this role is dedicated to the next generation of spatial and temporal intelligence. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch.
Your core mandate is twofold: building our in-house equivalents to cutting-edge 3D reconstruction architectures, and developing highly robust optical flow models tailored for the chaotic domain of egocentric vision. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.
To achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete spatial-temporal perception loop for our data engine.
Zero-to-One Model Development: Design, implement, and train state-of-the-art feed-forward network and per-scene differential optimization architectures for 3D geometry extraction.
Large-Scale Distributed Training: Scale multi-view ML architectures across multi-GPU clusters to handle massive, multi-modal spatial datasets.
Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions and attention mechanisms tailored to our specific data distributions.
Egocentric Motion Modeling: Build and train custom optical flow architectures capable of handling the extreme motion blur, rapid rotations, and sudden occlusions inherent in head-mounted or robot-mounted cameras.
Dynamic Scene Understanding: Use your flow models to segment dynamic actors, track objects through complex manipulations, and provide motion regularization for downstream action-conditioned world models.
Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tracking, segmentation, multi-modal sensor fusion, and beyond.
Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities or hardware integrations.
Neural Rendering Integration: Connect the outputs of your foundational models into highly optimized, large-scale dense reconstruction pipelines (3D Gaussian Splatting, NeRFs) to generate photorealistic environments.
Deep expertise in Deep Learning, 3D Computer Vision, and Temporal/Video Modeling.
Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning.
Strong theoretical and practical understanding of modern feed-forward 3D networks and dense motion estimation.
Mastery of PyTorch and deep learning scaling frameworks.
Experience handling and curating massive, multi-terabyte image and video datasets for training.
Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.
First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D deep learning, optical flow, video generation, or spatial transformers.
Specific experience working with egocentric video datasets (e.g., Ego4D, Ego-Exo4D) and solving the unique optimization challenges they present.
Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or correlation volume computations.
The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth that most academic researchers only dream of.
Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
High Impact: The spatial priors and motion models you architect will directly define how the next generation of embodied AI agents perceive and move through the physical world.
Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWhile our existing perception division handles classical state estimation and VIO, this role is dedicated to the next generation of spatial and temporal intelligence. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch.\n\nYour core mandate is twofold: building our in-house equivalents to cutting-edge 3D reconstruction architectures, and developing highly robust optical flow models tailored for the chaotic domain of egocentric vision. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.\n\nTo achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete spatial-temporal perception loop for our data engine.\n\n\n\n\nWHAT YOU'LL WORK ON\n\n\nARCHITECTING PROPRIETARY SPATIAL MODELS\n\n - Zero-to-One Model Development: Design, implement, and train state-of-the-art feed-forward network and per-scene differential optimization architectures for 3D geometry extraction.\n\n - Large-Scale Distributed Training: Scale multi-view ML architectures across multi-GPU clusters to handle massive, multi-modal spatial datasets.\n\n - Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions and attention mechanisms tailored to our specific data distributions.\n\n\nEGOCENTRIC OPTICAL FLOW & TEMPORAL DYNAMICS\n\n - Egocentric Motion Modeling: Build and train custom optical flow architectures capable of handling the extreme motion blur, rapid rotations, and sudden occlusions inherent in head-mounted or robot-mounted cameras.\n\n - Dynamic Scene Understanding: Use your flow models to segment dynamic actors, track objects through complex manipulations, and provide motion regularization for downstream action-conditioned world models.\n\n\nEMERGENT PERCEPTION R&D\n\n - Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tracking, segmentation, multi-modal sensor fusion, and beyond.\n\n - Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities or hardware integrations.\n\n\nNEXT-LEVEL DENSE RECONSTRUCTION\n\n - Neural Rendering Integration: Connect the outputs of your foundational models into highly optimized, large-scale dense reconstruction pipelines (3D Gaussian Splatting, NeRFs) to generate photorealistic environments.\n\n\nWHAT YOU BRING\n\n\nREQUIRED BACKGROUND\n\n - Deep expertise in Deep Learning, 3D Computer Vision, and Temporal/Video Modeling.\n\n - Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning.\n\n - Strong theoretical and practical understanding of modern feed-forward 3D networks and dense motion estimation.\n\n - Mastery of PyTorch and deep learning scaling frameworks.\n\n - Experience handling and curating massive, multi-terabyte image and video datasets for training.\n\n - Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.\n\n\nSTRONG SIGNALS:\n\n - First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D deep learning, optical flow, video generation, or spatial transformers.\n\n - Specific experience working with egocentric video datasets (e.g., Ego4D, Ego-Exo4D) and solving the unique optimization challenges they present.\n\n - Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or correlation volume computations.\n\n\nWHY THIS ROLE?\n\n - The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth that most academic researchers only dream of.\n\n - Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.\n\n - High Impact: The spatial priors and motion models you architect will directly define how the next generation of embodied AI agents perceive and move through the physical world.\n\nWarning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$200K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $250K","compensationTiers":[{"id":"840a5e09-5c8d-446a-8088-00a7f58fa7f4","tierSummary":"$200K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"abb0100d-2a14-4301-acdd-5a95b6371b82","summary":"$200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"id":"0cc98217-578e-4c64-aec1-976f35771426","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"30539ee6-ce29-47e2-8168-798134f6babf","title":"Full-Stack Engineer, ML Tooling and Infrastructure","department":"Software & Data","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-01T18:06:37.297+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/30539ee6-ce29-47e2-8168-798134f6babf","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/30539ee6-ce29-47e2-8168-798134f6babf/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
This role exists as a high-leverage force multiplier for our core Computer Vision Machine Learning (CVML) team. You are not building the foundational models for our robotics systems; rather, you own the critical infrastructure, internal tooling, and targeted ML services that enable the CVML team to move fast.
You will own the internal annotation platform used by our labeling team and develop lightweight, high-reliability ML services like our Personal Identifiable Information (PII) blurring pipeline. This is a true hybrid engineering role demanding competence in both deploying practical ML models and writing robust, user-facing full-stack applications.
Internal Tooling & Infrastructure
Own the Annotation Platform (CVA): Build and maintain the web application our labeling team uses daily. You will ship new task types, review workflows, keyboard-driven UI features, and progress dashboards.
Data Pipelines: Write the glue code to efficiently move video frames, metadata, and JSON payloads between cloud storage, databases, and the client application.
Quality Measurement: Build tools to track inter-annotator agreement, audit sampling, and dataset health.
Targeted ML Services
PII Blur as a Service: Own the pipeline that detects and blurs faces, screens, and license plates in delivered footage. This is a strict, customer-facing system that must perfectly balance privacy compliance with data preservation.
Model-Assisted Labeling: Deploy and optimize lightweight detection and segmentation models (e.g., bounding box assists) so annotators correct rather than create from scratch.
Inference Optimization: Take off-the-shelf or provided PyTorch models, optimize them (e.g., TensorRT, ONNX), and wrap them in fast, concurrent APIs to serve the tooling UI.
Heavy Frontend Engineering: You can confidently build and ship interactive web applications (React, Vue, or modern JS/TS). You understand how to handle complex state, canvas-based rendering, or video playback in the browser without tanking performance.
Production-Grade Python: You know how to build fast, concurrent APIs (FastAPI, gRPC) that don't choke on high-volume media requests.
Practical Applied ML: You have experience fine-tuning and deploying detection, segmentation, or tracking models on messy, real-world data. You know how to take a model out of a Jupyter notebook and make it run reliably in a pipeline.
Strong Signals
You have built or heavily customized an annotation UI (handling bounding boxes, polygons, keypoints) and understand the pain points of human-in-the-loop workflows.
Deep familiarity with video processing pipelines (FFmpeg, frame extraction, codec handling, latency optimization).
Familiarity with active learning workflows or mining hard negatives to iteratively improve datasets.
You care deeply about UI/UX and measure your success by the workflow speed of the end-user.
Core ML Architects: If your primary goal is designing novel neural network architectures or working on frontier foundation models, this is the wrong fit. Your ML work here uses established architectures to solve practical pipeline problems (like PII detection).
Backend-Only Engineers: If you dislike writing TypeScript, debugging CSS, or thinking about UI workflows, you will struggle. You own the frontend annotation product just as much as the ML services.
Data-Allergic Engineers: If you expect a perfectly clean, balanced dataset handed to you, this isn't the role. You are building the systems that create and sanitize that data.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nThis role exists as a high-leverage force multiplier for our core Computer Vision Machine Learning (CVML) team. You are not building the foundational models for our robotics systems; rather, you own the critical infrastructure, internal tooling, and targeted ML services that enable the CVML team to move fast.\n\nYou will own the internal annotation platform used by our labeling team and develop lightweight, high-reliability ML services like our Personal Identifiable Information (PII) blurring pipeline. This is a true hybrid engineering role demanding competence in both deploying practical ML models and writing robust, user-facing full-stack applications.\n\n\n\n\nWHAT YOU'LL DO\n\nInternal Tooling & Infrastructure\n\n - Own the Annotation Platform (CVA): Build and maintain the web application our labeling team uses daily. You will ship new task types, review workflows, keyboard-driven UI features, and progress dashboards.\n\n - Data Pipelines: Write the glue code to efficiently move video frames, metadata, and JSON payloads between cloud storage, databases, and the client application.\n\n - Quality Measurement: Build tools to track inter-annotator agreement, audit sampling, and dataset health.\n\nTargeted ML Services\n\n - PII Blur as a Service: Own the pipeline that detects and blurs faces, screens, and license plates in delivered footage. This is a strict, customer-facing system that must perfectly balance privacy compliance with data preservation.\n\n - Model-Assisted Labeling: Deploy and optimize lightweight detection and segmentation models (e.g., bounding box assists) so annotators correct rather than create from scratch.\n\n - Inference Optimization: Take off-the-shelf or provided PyTorch models, optimize them (e.g., TensorRT, ONNX), and wrap them in fast, concurrent APIs to serve the tooling UI.\n\n\n\n\nWHAT YOU BRING\n\n\nREQUIRED SKILLS (THE HARD BAR)\n\n - Heavy Frontend Engineering: You can confidently build and ship interactive web applications (React, Vue, or modern JS/TS). You understand how to handle complex state, canvas-based rendering, or video playback in the browser without tanking performance.\n\n - Production-Grade Python: You know how to build fast, concurrent APIs (FastAPI, gRPC) that don't choke on high-volume media requests.\n\n - Practical Applied ML: You have experience fine-tuning and deploying detection, segmentation, or tracking models on messy, real-world data. You know how to take a model out of a Jupyter notebook and make it run reliably in a pipeline.\n\nStrong Signals\n\n - You have built or heavily customized an annotation UI (handling bounding boxes, polygons, keypoints) and understand the pain points of human-in-the-loop workflows.\n\n - Deep familiarity with video processing pipelines (FFmpeg, frame extraction, codec handling, latency optimization).\n\n - Familiarity with active learning workflows or mining hard negatives to iteratively improve datasets.\n\n - You care deeply about UI/UX and measure your success by the workflow speed of the end-user.\n\n\n\n\nWHO WILL NOT ENJOY THIS ROLE\n\n - Core ML Architects: If your primary goal is designing novel neural network architectures or working on frontier foundation models, this is the wrong fit. Your ML work here uses established architectures to solve practical pipeline problems (like PII detection).\n\n - Backend-Only Engineers: If you dislike writing TypeScript, debugging CSS, or thinking about UI workflows, you will struggle. You own the frontend annotation product just as much as the ML services.\n\n - Data-Allergic Engineers: If you expect a perfectly clean, balanced dataset handed to you, this isn't the role. You are building the systems that create and sanitize that data.\n\n\n\n\n\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$130K – CA$180K • Offers Equity","scrapeableCompensationSalarySummary":"CA$130K - CA$180K","compensationTiers":[{"id":"6a2687b0-bebd-4231-b63d-7358f0f4378c","tierSummary":"CA$130K – CA$180K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3f8c6df2-decf-4232-8e41-2f8565b2e232","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"7e16f333-5cf3-48fc-9f4f-af9cbab4b9ce","summary":"CA$130K – CA$180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":130000,"maxValue":180000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":130000,"maxValue":180000}]}},{"id":"f36b355c-f823-4031-b7a2-2337c70ef902","title":"Calibration Engineer, Camera & Sensors","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-01T19:03:59.124+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/f36b355c-f823-4031-b7a2-2337c70ef902","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/f36b355c-f823-4031-b7a2-2337c70ef902/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring a Mechanical Camera & Sensor Calibration Engineer to own Mecka's entire calibration pipeline: camera intrinsics to IMU alignment to factory calibration infrastructure.
This is a hands-on, deeply practical role. You'll work directly with cameras, IMUs, and multi-sensor rigs to ensure our capture systems produce accurate, reliable data at scale.
Your immediate task: deliver production-quality calibration values. From there, you'll take full ownership of calibration pipeline process across Mecka's hardware fleet.
Deliver accurate IMU and Camera calibration values (intrinsic and extrinsic) for production systems
Assess and improve current calibration workflows
Own the entire calibration pipeline — camera intrinsics/extrinsics, IMU calibration, multi-sensor alignment
Ensure factory calibration is performed properly, consistently, and on schedule
Build and maintain calibration infrastructure — tooling, fixtures, validation scripts, and documentation
Develop automated calibration verification and quality assurance systems
Work with hardware and embedded teams to ensure sensor mounting and alignment meet calibration requirements
Debug and resolve calibration-related issues across deployed systems
Practical, hands-on experience with camera calibration (intrinsics, extrinsics, stereo, multi-camera rigs)
Practical experience with IMU calibration and tuning (bias estimation, alignment, noise characterization)
Understanding of sensor fusion fundamentals and how calibration quality affects downstream performance
Experience building calibration tooling and infrastructure for production environments
Ability to speak Mandarin and obtain work allowance in China
Experience in a manufacturing or hardware deployment environment with calibration at scale
Familiarity with OpenCV, Kalibr, or similar calibration frameworks
Experience with multi-sensor calibration (camera-IMU, etc.)
Background in autonomous vehicles, robotics, or AR/VR hardware calibration
Experience with factory/production line calibration processes
Knowledge of uncertainty quantification and error analysis
Extremely detail-oriented and methodical
Comfortable working with physical hardware — not just software
Able to design repeatable, scalable calibration processes
A strong debugger who can trace data quality issues back to root causes
Own calibration end-to-end at a company building robotics data infrastructure
Direct impact on data quality that feeds into ML and perception systems
Work with cutting-edge multi-sensor capture hardware
High autonomy and ownership from day one
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring a Mechanical Camera & Sensor Calibration Engineer to own Mecka's entire calibration pipeline: camera intrinsics to IMU alignment to factory calibration infrastructure.\n\nThis is a hands-on, deeply practical role. You'll work directly with cameras, IMUs, and multi-sensor rigs to ensure our capture systems produce accurate, reliable data at scale.\n\nYour immediate task: deliver production-quality calibration values. From there, you'll take full ownership of calibration pipeline process across Mecka's hardware fleet.\n\n\n\n\nRESPONSIBILITIES\n\n\nIMMEDIATE PRIORITIES\n\n - Deliver accurate IMU and Camera calibration values (intrinsic and extrinsic) for production systems\n\n - Assess and improve current calibration workflows\n\n\nONGOING\n\n - Own the entire calibration pipeline — camera intrinsics/extrinsics, IMU calibration, multi-sensor alignment\n\n - Ensure factory calibration is performed properly, consistently, and on schedule\n\n - Build and maintain calibration infrastructure — tooling, fixtures, validation scripts, and documentation\n\n - Develop automated calibration verification and quality assurance systems\n\n - Work with hardware and embedded teams to ensure sensor mounting and alignment meet calibration requirements\n\n - Debug and resolve calibration-related issues across deployed systems\n\n\n\n\nWHO YOU ARE\n\n\nREQUIRED SKILLS\n\n - Practical, hands-on experience with camera calibration (intrinsics, extrinsics, stereo, multi-camera rigs)\n\n - Practical experience with IMU calibration and tuning (bias estimation, alignment, noise characterization)\n\n - Understanding of sensor fusion fundamentals and how calibration quality affects downstream performance\n\n - Experience building calibration tooling and infrastructure for production environments\n\n - Ability to speak Mandarin and obtain work allowance in China\n\n\nSTRONG SIGNALS\n\n - Experience in a manufacturing or hardware deployment environment with calibration at scale\n\n - Familiarity with OpenCV, Kalibr, or similar calibration frameworks\n\n - Experience with multi-sensor calibration (camera-IMU, etc.)\n\n - Background in autonomous vehicles, robotics, or AR/VR hardware calibration\n\n - Experience with factory/production line calibration processes\n\n - Knowledge of uncertainty quantification and error analysis\n\n\nYOU ARE\n\n - Extremely detail-oriented and methodical\n\n - Comfortable working with physical hardware — not just software\n\n - Able to design repeatable, scalable calibration processes\n\n - A strong debugger who can trace data quality issues back to root causes\n\n\n\n\nWHY THIS ROLE\n\n - Own calibration end-to-end at a company building robotics data infrastructure\n\n - Direct impact on data quality that feeds into ML and perception systems\n\n - Work with cutting-edge multi-sensor capture hardware\n\n - High autonomy and ownership from day one\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$160K – CA$200K • Offers Equity","scrapeableCompensationSalarySummary":"CA$160K - CA$200K","compensationTiers":[{"id":"bf28b874-8f1a-4f06-b6c3-b9867be2fe72","tierSummary":"CA$160K – CA$200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3fbd4bb0-48cb-4efb-b3e2-f0a7b0b6e8c2","summary":"CA$160K – CA$200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":160000,"maxValue":200000},{"id":"73b411b4-e0b5-4e3a-b23c-18fe49b23d3f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":160000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"983670d0-1295-4575-911c-b25940982826","title":"Growth Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-11T20:38:42.763+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/983670d0-1295-4575-911c-b25940982826","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/983670d0-1295-4575-911c-b25940982826/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Mecka's datasets come from a global network of contributors capturing real-world data, and that network needs to grow by an order of magnitude while acquisition still runs market by market. In this role, you'll build one acquisition engine with shared channels, playbooks, and measurement that every market runs, and you'll run it hands-on, using AI to do what used to take a team. You'll report to company leadership and work alongside our country teams across APAC, South America, and North America.
What You'll Be Doing:
Own contributor acquisition end-to-end, from first touch to first approved capture, and deliver on quality, speed, and volume across programs and markets.
Build and scale a channel portfolio across referral, community, field, organic, partnerships, and paid, knowing the cost and conversion of every channel and cutting what doesn't work market by market.
Launch referral and affiliate programs with quality controls built in, and a repeatable partner motion with organizations that already reach contributors.
Set how Mecka shows up to contributors, from messaging and creative to community presence, so growth builds on itself instead of restarting with every program.
Build AI-powered workflows for localized creative, content, and outreach so a small team can cover many markets and languages, shipping experiments on a weekly cadence.
Build retention programs that keep contributors engaged.
Hire key people and set the playbooks, budgets, and standards in-market teams run, working with Operations to forecast needs by program and market.
What You Bring:
6+ years in growth, including owning supply-side acquisition at a two-sided marketplace, gig platform, or data collection business.
Personally built a multi-channel acquisition engine, scaled it in more than one country, and owned its budget, defending cost of acquisition and activation metrics to leadership.
Runs growth work through AI tools and automations today, with repeatable systems rather than one-off experiments, and a clear view of what shouldn't be automated.
Hired key people and led through a matrix with in-market teams you didn't directly manage.
Based in New York or San Francisco, or willing to relocate, and willing to travel regularly to our markets.
Even Better If You Have:
Grew a contributor, annotator, or workforce base at a data collection or AI training data company.
Scaled supply growth across emerging markets, especially APAC, and made a playbook built in one country work in others.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nMecka's datasets come from a global network of contributors capturing real-world data, and that network needs to grow by an order of magnitude while acquisition still runs market by market. In this role, you'll build one acquisition engine with shared channels, playbooks, and measurement that every market runs, and you'll run it hands-on, using AI to do what used to take a team. You'll report to company leadership and work alongside our country teams across APAC, South America, and North America.\n\nWhat You'll Be Doing:\n\n - Own contributor acquisition end-to-end, from first touch to first approved capture, and deliver on quality, speed, and volume across programs and markets.\n\n - Build and scale a channel portfolio across referral, community, field, organic, partnerships, and paid, knowing the cost and conversion of every channel and cutting what doesn't work market by market.\n\n - Launch referral and affiliate programs with quality controls built in, and a repeatable partner motion with organizations that already reach contributors.\n\n - Set how Mecka shows up to contributors, from messaging and creative to community presence, so growth builds on itself instead of restarting with every program.\n\n - Build AI-powered workflows for localized creative, content, and outreach so a small team can cover many markets and languages, shipping experiments on a weekly cadence.\n\n - Build retention programs that keep contributors engaged.\n\n - Hire key people and set the playbooks, budgets, and standards in-market teams run, working with Operations to forecast needs by program and market.\n\nWhat You Bring:\n\n - 6+ years in growth, including owning supply-side acquisition at a two-sided marketplace, gig platform, or data collection business.\n\n - Personally built a multi-channel acquisition engine, scaled it in more than one country, and owned its budget, defending cost of acquisition and activation metrics to leadership.\n\n - Runs growth work through AI tools and automations today, with repeatable systems rather than one-off experiments, and a clear view of what shouldn't be automated.\n\n - Hired key people and led through a matrix with in-market teams you didn't directly manage.\n\n - Based in New York or San Francisco, or willing to relocate, and willing to travel regularly to our markets.\n\nEven Better If You Have:\n\n - Grew a contributor, annotator, or workforce base at a data collection or AI training data company.\n\n - Scaled supply growth across emerging markets, especially APAC, and made a playbook built in one country work in others.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$140K – $170K","scrapeableCompensationSalarySummary":"$140K - $170K","compensationTiers":[{"id":"1eaa9ed0-2168-4cdf-a4ad-8d8a38cafb25","tierSummary":"$140K – $170K","title":null,"additionalInformation":null,"components":[{"id":"d42bb19c-0682-4f73-99c5-40eacdf4367f","summary":"$140K – $170K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":170000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":170000}]}},{"id":"812df882-9a31-4340-8c3e-3ec925f02b23","title":"Staff Technical Program Manager (Deployment & Logistics)","department":"Robotics Deployment","team":"Robotics Deployment","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T00:58:21.400+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/812df882-9a31-4340-8c3e-3ec925f02b23","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/812df882-9a31-4340-8c3e-3ec925f02b23/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Serve as the principal operational architect of our deployment division, driving the end-to-end robotics lifecycle. As a senior IC, you will bridge commercial strategy, technical execution, and global supply chain operations to scale complex multi-vendor enterprise deployments and launch new markets across North America.
End-to-End Program Execution: Act as the lead program owner for our most complex, high-value enterprise rollouts. Drive cross-functional execution across Commercial, Solutions Engineering, and Field Ops to ensure seamless delivery of custom AI-robotics integrations and Pudu fleets.
Logistics & Supply Chain Orchestration: Design and optimize the operational workflows for our hardware supply chain. Coordinate international freight, customs/import compliance, localized warehousing, and spare parts distribution networks (including 3PLs) to ensure hardware is on-site and on-time for new market deployments.
Principal OEM Technical Bridge: Serve as the primary technical liaison and senior escalation point for Pudu Robotics and future OEM partners. Translate North American field data into actionable product requirements to influence overseas hardware/software engineering roadmaps.
Systems Architecture & Standardization: Architect the internal tools and processes required to scale. Design advanced workflows in agile/tracking tools (Jira, Asana, ERP systems) to unify global teams. Build out data-driven reporting for key operational metrics (fleet uptime, deployment time-to-value, MTTR, inventory turns).
7–10+ years of experience as a TPM, Technical Operations Lead, or Supply Chain PM in robotics, complex enterprise IoT, or industrial hardware.
New Market & Logistics Expertise: Hands-on experience coordinating hardware deployments into new geographical markets, with a strong understanding of international freight, customs processes, and third-party logistics (3PL) coordination.
Senior IC Leadership: Proven ability to lead by influence (without direct reports). You can align executives, field engineers, and external vendors around a single master schedule and hold them accountable.
Systems & Process Mastery: Expert in configuring workflow and resource-planning systems (Asana, Jira, NetSuite, etc.) to bring order to chaotic, early-stage scaling environments.
Technical Acumen: Deep comfort bridging the gap between hardware/software engineering and real-world field operations; able to query and analyze fleet telemetry data to spot operational trends before they become bottlenecks.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nServe as the principal operational architect of our deployment division, driving the end-to-end robotics lifecycle. As a senior IC, you will bridge commercial strategy, technical execution, and global supply chain operations to scale complex multi-vendor enterprise deployments and launch new markets across North America.\n\n\n\nWHAT YOU'LL DO\n\n - End-to-End Program Execution: Act as the lead program owner for our most complex, high-value enterprise rollouts. Drive cross-functional execution across Commercial, Solutions Engineering, and Field Ops to ensure seamless delivery of custom AI-robotics integrations and Pudu fleets.\n\n - Logistics & Supply Chain Orchestration: Design and optimize the operational workflows for our hardware supply chain. Coordinate international freight, customs/import compliance, localized warehousing, and spare parts distribution networks (including 3PLs) to ensure hardware is on-site and on-time for new market deployments.\n\n - Principal OEM Technical Bridge: Serve as the primary technical liaison and senior escalation point for Pudu Robotics and future OEM partners. Translate North American field data into actionable product requirements to influence overseas hardware/software engineering roadmaps.\n\n - Systems Architecture & Standardization: Architect the internal tools and processes required to scale. Design advanced workflows in agile/tracking tools (Jira, Asana, ERP systems) to unify global teams. Build out data-driven reporting for key operational metrics (fleet uptime, deployment time-to-value, MTTR, inventory turns).\n\n\n\n\nWHAT YOU BRING\n\n - 7–10+ years of experience as a TPM, Technical Operations Lead, or Supply Chain PM in robotics, complex enterprise IoT, or industrial hardware.\n\n - New Market & Logistics Expertise: Hands-on experience coordinating hardware deployments into new geographical markets, with a strong understanding of international freight, customs processes, and third-party logistics (3PL) coordination.\n\n - Senior IC Leadership: Proven ability to lead by influence (without direct reports). You can align executives, field engineers, and external vendors around a single master schedule and hold them accountable.\n\n - Systems & Process Mastery: Expert in configuring workflow and resource-planning systems (Asana, Jira, NetSuite, etc.) to bring order to chaotic, early-stage scaling environments.\n\n - Technical Acumen: Deep comfort bridging the gap between hardware/software engineering and real-world field operations; able to query and analyze fleet telemetry data to spot operational trends before they become bottlenecks.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$200K – $225K","scrapeableCompensationSalarySummary":"$200K - $225K","compensationTiers":[{"id":"1dfff066-4dbe-4a07-b094-c6beef87ea94","tierSummary":"$200K – $225K","title":null,"additionalInformation":null,"components":[{"id":"7724f17d-125b-4525-be0b-7107032b4983","summary":"$200K – $225K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":225000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":225000}]}},{"id":"70c8341f-544d-450c-af5c-a6db0a86ce53","title":"General Application","department":"Any","team":"Any","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}}],"publishedAt":"2026-09-22T20:27:35.130+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/70c8341f-544d-450c-af5c-a6db0a86ce53","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/70c8341f-544d-450c-af5c-a6db0a86ce53/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Don't see the right role on our careers page ? Apply here.
We're adding roles every month, and some of our best hires started with a note like this. If you want to be part of what we're building but no open role matches your skills, tell us who you are and what you want to work on. When something fits, we'll know where to find you.
Where we're growing
Hardware engineering
Robotics deployment and field service
Software engineering, infrastructure and security
AI/ML and robotics research
Data science and analytics
Product and technical program management
Operations
Sales and Marketing
Finance
People
Who we're looking for
People who have built, shipped or run real things and can show it. Show us your work: a product you took to production, a system you scaled, a model you deployed, an operation you stood up in a new market. We'll take that over polished credentials.
What to expect
This application isn't for a specific open position. It's how we keep track of great people for roles that are coming.
Our recruiting team reviews every application. We'll contact you when there's a role that fits your background.
We keep your information for up to 24 months, and you can ask us to delete it at any time.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\n\nDon't see the right role on our careers page ? Apply here.\n\nWe're adding roles every month, and some of our best hires started with a note like this. If you want to be part of what we're building but no open role matches your skills, tell us who you are and what you want to work on. When something fits, we'll know where to find you.\n\n\n\nWhere we're growing\n\n - Hardware engineering\n\n - Robotics deployment and field service\n\n - Software engineering, infrastructure and security\n\n - AI/ML and robotics research\n\n - Data science and analytics\n\n - Product and technical program management\n\n - Operations\n\n - Sales and Marketing\n\n - Finance\n\n - People\n\n\n\nWho we're looking for\n\nPeople who have built, shipped or run real things and can show it. Show us your work: a product you took to production, a system you scaled, a model you deployed, an operation you stood up in a new market. We'll take that over polished credentials.\n\n\n\nWhat to expect\n\n - This application isn't for a specific open position. It's how we keep track of great people for roles that are coming.\n\n - Our recruiting team reviews every application. We'll contact you when there's a role that fits your background.\n\n - We keep your information for up to 24 months, and you can ask us to delete it at any time.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$75K – $200K • Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level.","scrapeableCompensationSalarySummary":"$75K - $200K","compensationTiers":[{"id":"8cfb918b-df8f-4506-b218-31502ffc0a6d","tierSummary":"$75K – $200K • Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level.","title":null,"additionalInformation":"Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level.","components":[{"id":"d2258c2c-c473-4821-8eb6-96ca833350b1","summary":"$75K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":75000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":75000,"maxValue":200000}]}},{"id":"2030e1dc-ec55-415e-b47a-69ba995503b9","title":"Technical Recruiter, AI & Robotics","department":"People","team":"Talent Acquisition","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-23T14:06:27.615+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/2030e1dc-ec55-415e-b47a-69ba995503b9","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/2030e1dc-ec55-415e-b47a-69ba995503b9/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Mecka is building the data engine that helps robots understand and operate in the physical world. That requires an extraordinary team spanning software, infrastructure, machine learning, computer vision, robotics and research.
We’re looking for a Technical Recruiter who can find those people—and convince them to build with us.
Reporting to our Director of Talent Acquisition, you’ll own technical searches from first outreach through to signed offer. You’ll work directly with hiring managers and company leaders, move with urgency, and help us build a lasting presence within the robotics and computer vision communities.
This is not a role for someone who waits for applicants. You’ll map specialized talent markets, develop relationships before there is an open role, and build pipelines that compound as Mecka grows.
Lead full-cycle recruiting across engineering, ML, computer vision, robotics and other specialized technical roles
Find exceptional candidates through original research, targeted sourcing and long-term relationship building—not only LinkedIn searches and inbound applications
Partner with hiring managers to define the real need, sharpen the role and build an interview process that identifies it
Build trusted relationships across robotics and computer vision companies, research labs, universities and technical communities
Develop talent pipelines before roles open, particularly for specialized and hard-to-find profiles
Keep searches moving quickly while maintaining a high hiring bar and a strong candidate experience
Present and close offers, helping candidates understand Mecka’s technical ambition, ownership and upside
Use pipeline data and market intelligence to tell us where talent sits, what candidates care about and when our approach needs to change
Help improve the recruiting systems, tools and practices we’ll need as Mecka scales
4+ years of full-cycle technical recruiting experience . Must have experience hiring specialized engineers, researchers or technical leaders in robotics, computer vision, physical AI, autonomous systems, ML or another deep-tech environment
Strong sourcing instincts and evidence that you can uncover people other recruiters miss
Experience operating at speed in a demanding startup, scale up or similarly high-performance environment
The judgment to distinguish an impressive résumé from someone who will materially raise the bar
The credibility and curiosity to engage deeply technical candidates and hiring managers
Strong candidate-closing skills and comfort navigating compensation, equity and competing offers
High ownership: you identify obstacles, propose solutions and keep the process moving
Existing relationships across robotics, computer vision or embodied-AI companies, labs and academic communities
Experience recruiting at the intersection of software, hardware and research
Familiarity with the talent emerging from conferences and communities such as CVPR, NeurIPS, CoRL, RSS or ICRA
Experience with Ashby and modern sourcing or talent-intelligence tools
You’ll have direct access to the leaders making hiring decisions, ownership over some of our most important searches, and the opportunity to build a technical talent network—not simply fill requisitions.
The hiring bar is high. The pace is fast. The people you bring in will directly shape what Mecka becomes and we have super high ambitions. If you do too - you may be the perfect fit!
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nHELP US BUILD THE TEAM BUILDING PHYSICAL AI\n\nMecka is building the data engine that helps robots understand and operate in the physical world. That requires an extraordinary team spanning software, infrastructure, machine learning, computer vision, robotics and research.\n\nWe’re looking for a Technical Recruiter who can find those people—and convince them to build with us.\n\nReporting to our Director of Talent Acquisition, you’ll own technical searches from first outreach through to signed offer. You’ll work directly with hiring managers and company leaders, move with urgency, and help us build a lasting presence within the robotics and computer vision communities.\n\nThis is not a role for someone who waits for applicants. You’ll map specialized talent markets, develop relationships before there is an open role, and build pipelines that compound as Mecka grows.\n\n\n\n\nWHAT YOU’LL OWN\n\n - Lead full-cycle recruiting across engineering, ML, computer vision, robotics and other specialized technical roles\n\n - Find exceptional candidates through original research, targeted sourcing and long-term relationship building—not only LinkedIn searches and inbound applications\n\n - Partner with hiring managers to define the real need, sharpen the role and build an interview process that identifies it\n\n - Build trusted relationships across robotics and computer vision companies, research labs, universities and technical communities\n\n - Develop talent pipelines before roles open, particularly for specialized and hard-to-find profiles\n\n - Keep searches moving quickly while maintaining a high hiring bar and a strong candidate experience\n\n - Present and close offers, helping candidates understand Mecka’s technical ambition, ownership and upside\n\n - Use pipeline data and market intelligence to tell us where talent sits, what candidates care about and when our approach needs to change\n\n - Help improve the recruiting systems, tools and practices we’ll need as Mecka scales\n\n\nWHAT YOU BRING\n\n - 4+ years of full-cycle technical recruiting experience . Must have experience hiring specialized engineers, researchers or technical leaders in robotics, computer vision, physical AI, autonomous systems, ML or another deep-tech environment\n\n - Strong sourcing instincts and evidence that you can uncover people other recruiters miss\n\n - Experience operating at speed in a demanding startup, scale up or similarly high-performance environment\n\n - The judgment to distinguish an impressive résumé from someone who will materially raise the bar\n\n - The credibility and curiosity to engage deeply technical candidates and hiring managers\n\n - Strong candidate-closing skills and comfort navigating compensation, equity and competing offers\n\n - High ownership: you identify obstacles, propose solutions and keep the process moving\n\n\nEVEN BETTER IF YOU HAVE\n\n - Existing relationships across robotics, computer vision or embodied-AI companies, labs and academic communities\n\n - Experience recruiting at the intersection of software, hardware and research\n\n - Familiarity with the talent emerging from conferences and communities such as CVPR, NeurIPS, CoRL, RSS or ICRA\n\n - Experience with Ashby and modern sourcing or talent-intelligence tools\n\n\nWHY MECKA\n\nYou’ll have direct access to the leaders making hiring decisions, ownership over some of our most important searches, and the opportunity to build a technical talent network—not simply fill requisitions.\n\nThe hiring bar is high. The pace is fast. The people you bring in will directly shape what Mecka becomes and we have super high ambitions. If you do too - you may be the perfect fit!\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$115K – CA$140K • Offers Equity","scrapeableCompensationSalarySummary":"CA$115K - CA$140K","compensationTiers":[{"id":"f0ec9c53-904f-408b-9faf-7601ca1e0ece","tierSummary":"CA$115K – CA$140K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"d67d4c04-4300-4f50-a2cc-0090d8b31b38","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"544a4623-33bd-4f7b-a8e4-1771ca8a282f","summary":"CA$115K – CA$140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":115000,"maxValue":140000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":115000,"maxValue":140000}]}},{"id":"1b667549-5a4c-4f71-97fe-0770441dafba","title":"Senior Product Engineer, Sciences","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-22T13:06:19.010+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/1b667549-5a4c-4f71-97fe-0770441dafba","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/1b667549-5a4c-4f71-97fe-0770441dafba/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
We’re hiring a Senior Product Engineer to build software and data products for scientific work. You’ll own products from the first user conversation through production, working across frontend, backend and data.
You’ll work directly with scientists, operators and technical teams to understand their problems, make product decisions and ship useful software. The role combines full-stack engineering with scientific understanding: the products need to work reliably and preserve the information that makes scientific data meaningful.
Understand users and set priorities. Investigate scientific and operational workflows, identify important problems and turn ambiguous needs into useful product scope.
Build across the stack. Design and implement interfaces, backend services, data models and integrations. Carry products from prototype into daily use.
Develop reliable data workflows. Build processing, validation and delivery capabilities that handle complex inputs, changing requirements and operational failures.
Make data easier to use. Develop tools for reviewing scientific information, assessing quality and investigating or correcting errors.
Improve quality and automation. Work with engineering and machine-learning specialists on processing, QA and AI-assisted annotation.
Own production performance. Test, deploy, monitor and debug your software. Improve reliability, usability and operating cost as usage grows.
Independently shipping full-stack products from an ambiguous problem through launch and sustained use.
Strong frontend, backend and data-modeling fundamentals, including data processing and integrations.
Scientific fluency gained through bench work or sustained software development with experimental scientists.
Product judgment: understanding user needs, choosing a useful scope and making technical tradeoffs.
Hands-on responsibility for testing, deployment, monitoring and production debugging.
Scientific software used in everyday laboratory or research work.
Founder or early engineering experience with responsibility for users, architecture and delivery.
Instrument integrations, experimental data systems or tools for reviewing complex datasets.
Practical AI features that allow users to inspect, validate and correct outputs.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nWe’re hiring a Senior Product Engineer to build software and data products for scientific work. You’ll own products from the first user conversation through production, working across frontend, backend and data.\n\nYou’ll work directly with scientists, operators and technical teams to understand their problems, make product decisions and ship useful software. The role combines full-stack engineering with scientific understanding: the products need to work reliably and preserve the information that makes scientific data meaningful.\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Understand users and set priorities. Investigate scientific and operational workflows, identify important problems and turn ambiguous needs into useful product scope.\n\n - Build across the stack. Design and implement interfaces, backend services, data models and integrations. Carry products from prototype into daily use.\n\n - Develop reliable data workflows. Build processing, validation and delivery capabilities that handle complex inputs, changing requirements and operational failures.\n\n - Make data easier to use. Develop tools for reviewing scientific information, assessing quality and investigating or correcting errors.\n\n - Improve quality and automation. Work with engineering and machine-learning specialists on processing, QA and AI-assisted annotation.\n\n - Own production performance. Test, deploy, monitor and debug your software. Improve reliability, usability and operating cost as usage grows.\n\n\n\n\nWHAT YOU BRING:\n\n - Independently shipping full-stack products from an ambiguous problem through launch and sustained use.\n\n - Strong frontend, backend and data-modeling fundamentals, including data processing and integrations.\n\n - Scientific fluency gained through bench work or sustained software development with experimental scientists.\n\n - Product judgment: understanding user needs, choosing a useful scope and making technical tradeoffs.\n\n - Hands-on responsibility for testing, deployment, monitoring and production debugging.\n\n\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Scientific software used in everyday laboratory or research work.\n\n - Founder or early engineering experience with responsibility for users, architecture and delivery.\n\n - Instrument integrations, experimental data systems or tools for reviewing complex datasets.\n\n - Practical AI features that allow users to inspect, validate and correct outputs.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$160K – $200K","scrapeableCompensationSalarySummary":"$160K - $200K","compensationTiers":[{"id":"9218e444-44bd-4b17-9c66-83c5fc5b2fc5","tierSummary":"$160K – $200K","title":null,"additionalInformation":null,"components":[{"id":"b0fca5f5-a8ce-4786-ba66-b13fe4ee5433","summary":"$160K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000}]}},{"id":"144dfc68-0ebb-417c-ba22-5735d8a07e6a","title":"Country Launch Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-24T14:27:34.007+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/144dfc68-0ebb-417c-ba22-5735d8a07e6a","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/144dfc68-0ebb-417c-ba22-5735d8a07e6a/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
About the Role
We operate capture operations across international markets and are aggressively expanding our global footprint.
As the Country Launch Lead, you will take full end-to-end operational accountability for taking new geographic markets from zero to fully functional, high-velocity operating units. Your mandate covers the entire deployment lifecycle: executing structured market assessment frameworks, navigating complex local legal, regulatory, and privacy requirements with local and outside counsel, establishing legal entities, banking, and physical logistics infrastructure, managing initial commercial launches and field team deployments, and executing a seamless operational handoff to permanent local leadership once steady-state performance is achieved. In parallel, you will continuously iterate on, codify, and scale our global market expansion playbook.
What You Will Be Doing:
Launch leadership: Serve as the single point of accountability for new market expansion projects, driving execution across legal, operational, financial, and commercial workstreams to achieve target launch dates and seamlessly transfer stabilized operations to permanent local managers.
Assessment: Execute comprehensive pre-launch feasibility assessments and legal/regulatory evaluations in partnership with legal counsel, ensuring strict adherence to regional data privacy laws, consent frameworks, import/export regulations, and local employment laws.
Local setup: Establish initial physical and legal operating infrastructure, including entity registration, corporate bank accounts, local payment gateways, office/warehouse leases, hardware procurement, vendor logistics, and localized compliance workflows.
Team and cadence: Recruit, onboard, and train founding local team members (country managers, operations leads, field supervisors), instilling core operating cadences, standard operating procedures, and key operational KPI scorecards from day one.
Playbook: Continuously refine, expand, and modularize the company's global expansion playbook, standardizing budget estimation models, timeline templates, regulatory checklists, and vendor procurement toolkits for subsequent international expansions.
What You Bring:
Experience: 5 to 8+ years of experience in operational leadership, expansion operations, corporate strategy, or general management, with demonstrated success launching at least one international country end-to-end for a high-growth, operations-intensive company.
Setup from scratch: Direct hands-on experience building local business operations from concept to stabilization, including managing local legal setup, financial rails, commercial partner acquisition, vendor contracts, and early local hiring.
Independence: Exceptional problem-solving skills, autonomy, and resilience when operating in unfamiliar international environments under tight constraints, paired with a willingness to travel to target expansion regions
Even Better If You Have:
Regulatory: Deep background working directly with specialized external legal firms and government authorities to resolve complex regulatory hurdles, cross-border data transfer policies, and local labor laws.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nAbout the Role\n\nWe operate capture operations across international markets and are aggressively expanding our global footprint.\n\nAs the Country Launch Lead, you will take full end-to-end operational accountability for taking new geographic markets from zero to fully functional, high-velocity operating units. Your mandate covers the entire deployment lifecycle: executing structured market assessment frameworks, navigating complex local legal, regulatory, and privacy requirements with local and outside counsel, establishing legal entities, banking, and physical logistics infrastructure, managing initial commercial launches and field team deployments, and executing a seamless operational handoff to permanent local leadership once steady-state performance is achieved. In parallel, you will continuously iterate on, codify, and scale our global market expansion playbook.\n\nWhat You Will Be Doing:\n\n - Launch leadership: Serve as the single point of accountability for new market expansion projects, driving execution across legal, operational, financial, and commercial workstreams to achieve target launch dates and seamlessly transfer stabilized operations to permanent local managers.\n\n - Assessment: Execute comprehensive pre-launch feasibility assessments and legal/regulatory evaluations in partnership with legal counsel, ensuring strict adherence to regional data privacy laws, consent frameworks, import/export regulations, and local employment laws.\n\n - Local setup: Establish initial physical and legal operating infrastructure, including entity registration, corporate bank accounts, local payment gateways, office/warehouse leases, hardware procurement, vendor logistics, and localized compliance workflows.\n\n - Team and cadence: Recruit, onboard, and train founding local team members (country managers, operations leads, field supervisors), instilling core operating cadences, standard operating procedures, and key operational KPI scorecards from day one.\n\n - Playbook: Continuously refine, expand, and modularize the company's global expansion playbook, standardizing budget estimation models, timeline templates, regulatory checklists, and vendor procurement toolkits for subsequent international expansions.\n\nWhat You Bring:\n\n - Experience: 5 to 8+ years of experience in operational leadership, expansion operations, corporate strategy, or general management, with demonstrated success launching at least one international country end-to-end for a high-growth, operations-intensive company.\n\n - Setup from scratch: Direct hands-on experience building local business operations from concept to stabilization, including managing local legal setup, financial rails, commercial partner acquisition, vendor contracts, and early local hiring.\n\n - Independence: Exceptional problem-solving skills, autonomy, and resilience when operating in unfamiliar international environments under tight constraints, paired with a willingness to travel to target expansion regions\n\nEven Better If You Have:\n\n - Regulatory: Deep background working directly with specialized external legal firms and government authorities to resolve complex regulatory hurdles, cross-border data transfer policies, and local labor laws.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$140K – $180K","scrapeableCompensationSalarySummary":"$140K - $180K","compensationTiers":[{"id":"aae40a97-b6b5-4866-9c5e-f5caf8f7d1b4","tierSummary":"$140K – $180K","title":null,"additionalInformation":null,"components":[{"id":"22a9690c-bd34-4f14-8aa2-f5370be07a31","summary":"$140K – $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000}]}},{"id":"2558a560-51a8-43aa-a9a1-1e6ed2749260","title":"Sales Operations and Analytics Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}}],"publishedAt":"2026-09-24T14:27:55.229+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/2558a560-51a8-43aa-a9a1-1e6ed2749260","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/2558a560-51a8-43aa-a9a1-1e6ed2749260/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Our global data capture supply originates directly from specialized sales, business development, and field partner management teams across active regional markets who identify, recruit, onboard, and retain high-value commercial enterprise partners, merchants, and field venue site partners. As the Sales Operations and Analytics Lead, you will architect, build, and scale the operational engine powering these front-line commercial teams worldwide.
Your scope will cover the complete revenue and acquisition stack: designing and deploying comprehensive performance analytics dashboards, establishing target allocation models and variable commission/incentive structures, leading bottom-up market sizing and target account list generation, optimizing cross-market resource allocation, maintaining CRM health and data hygiene, and publishing the definitive weekly executive business review consumed by senior executive leadership.
What You Will Be Doing
Reporting: Architect and maintain end-to-end sales analytics infrastructure, automating weekly performance dashboards for every global market, territory, and individual manager to track funnel efficiency, velocity, and conversion.
Targets and incentives: Design, model, and administer regional quota systems, target allocation methodologies, and variable incentive compensation plans, partnering closely with finance and HR to calculate accurate monthly and quarterly commission payouts.
Account planning: Perform structured Total Addressable Market sizing, segment prioritization, and lead scoring models by country and tier, delivering pre-vetted target account lists to field acquisition teams.
System of record: Serve as the primary system administrator and owner for the merchant and partner CRM, enforcing strict pipeline stage definitions, data enrichment standards, and workflow automation rules.
Business review: Manage operational resource allocation across active expansion markets and author the core executive Weekly Business Review packet detailing performance trends, operational bottlenecks, and strategic recommendations.
What You Bring:
Experience: 5 to 8+ years of experience in sales operations, revenue operations, strategy & planning, management consulting, or commercial analytics within high-growth marketplace, SaaS, or field sales organizations.
Technical skills: Advanced SQL skills for data extraction and transformation, expert financial/data modeling in spreadsheets, and hands-on experience constructing executive-facing dashboards (e.g., Tableau, Looker, PowerBI).
Incentive design: Proven experience modeling, implementing, and managing variable compensation, commission, and quota systems, with a thorough understanding of behavioral incentives and financial risk management.
Even Better If You Have:
Industry: Background in supply-side acquisition, merchant growth, or partner management at a major multi-sided marketplace, hyper-local logistics provider, or delivery tech platform.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nOur global data capture supply originates directly from specialized sales, business development, and field partner management teams across active regional markets who identify, recruit, onboard, and retain high-value commercial enterprise partners, merchants, and field venue site partners. As the Sales Operations and Analytics Lead, you will architect, build, and scale the operational engine powering these front-line commercial teams worldwide.\n\nYour scope will cover the complete revenue and acquisition stack: designing and deploying comprehensive performance analytics dashboards, establishing target allocation models and variable commission/incentive structures, leading bottom-up market sizing and target account list generation, optimizing cross-market resource allocation, maintaining CRM health and data hygiene, and publishing the definitive weekly executive business review consumed by senior executive leadership.\n\nWhat You Will Be Doing\n\n - Reporting: Architect and maintain end-to-end sales analytics infrastructure, automating weekly performance dashboards for every global market, territory, and individual manager to track funnel efficiency, velocity, and conversion.\n\n - Targets and incentives: Design, model, and administer regional quota systems, target allocation methodologies, and variable incentive compensation plans, partnering closely with finance and HR to calculate accurate monthly and quarterly commission payouts.\n\n - Account planning: Perform structured Total Addressable Market sizing, segment prioritization, and lead scoring models by country and tier, delivering pre-vetted target account lists to field acquisition teams.\n\n - System of record: Serve as the primary system administrator and owner for the merchant and partner CRM, enforcing strict pipeline stage definitions, data enrichment standards, and workflow automation rules.\n\n - Business review: Manage operational resource allocation across active expansion markets and author the core executive Weekly Business Review packet detailing performance trends, operational bottlenecks, and strategic recommendations.\n\nWhat You Bring:\n\n - Experience: 5 to 8+ years of experience in sales operations, revenue operations, strategy & planning, management consulting, or commercial analytics within high-growth marketplace, SaaS, or field sales organizations.\n\n - Technical skills: Advanced SQL skills for data extraction and transformation, expert financial/data modeling in spreadsheets, and hands-on experience constructing executive-facing dashboards (e.g., Tableau, Looker, PowerBI).\n\n - Incentive design: Proven experience modeling, implementing, and managing variable compensation, commission, and quota systems, with a thorough understanding of behavioral incentives and financial risk management.\n\nEven Better If You Have:\n\n - Industry: Background in supply-side acquisition, merchant growth, or partner management at a major multi-sided marketplace, hyper-local logistics provider, or delivery tech platform.\n\n\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$170K – $195K","scrapeableCompensationSalarySummary":"$170K - $195K","compensationTiers":[{"id":"40ab49db-ded5-4bbd-b4e2-edb074d6954d","tierSummary":"$170K – $195K","title":null,"additionalInformation":null,"components":[{"id":"a4950bbc-9e89-4f96-aa52-b68d0690f79e","summary":"$170K – $195K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":195000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":195000}]}},{"id":"fc9a2244-e213-4a2a-abff-6b73795acf92","title":"Technical Program Manager, Robotic Data & Deliveries","department":"Sales & Customer Delivery","team":"Delivery","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-24T14:28:01.898+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/fc9a2244-e213-4a2a-abff-6b73795acf92","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/fc9a2244-e213-4a2a-abff-6b73795acf92/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Own the program that turns Mecka’s ego-data pipeline into on-time, at-spec dataset deliveries to frontier AI labs. You will sit at the seam between our ego-data sales & delivery team and the engineering that produces the data — driving delivery execution against customer commitments while iteratively building the tooling, standards, and datasets that let us scale from bespoke drops to a repeatable delivery engine.
This is a hands-on, senior IC role. You will be equally comfortable running a delivery schedule with a demanding AI-lab customer, writing a script to reshape a dataset or query a pipeline, and defining the spec that makes the next delivery faster than the last.
What you will be doing:
• End-to-End Delivery Program Ownership: Act as the lead program owner for our highest-value ego-data deliveries. Drive cross-functional execution across Sales, Data Operations, Labeling, and Engineering to ship datasets that meet each customer’s spec, volume, and timeline — owning the master delivery schedule and holding contributors accountable to it.
• Delivery Tooling & Automation: Iterate on the tooling that packages, validates, and hands off ego datasets. Prototype and build — scripts, QA checks, packaging and manifest tooling, delivery dashboards — then partner with Engineering to harden what works into durable infrastructure. Every delivery should leave the pipeline faster and more automated than it found it.
• Dataset Quality & Standards: Define and enforce the standards that make an ego dataset \"delivery-ready\" — completeness, metadata, taxonomy, formatting, and QA gates. Turn recurring delivery pain into reusable specs, checklists, and automated validation so quality is built in, not inspected in.
• Sales & Customer Delivery Partnership: Partner with the ego-data sales & delivery team to translate customer requirements into concrete delivery plans, and translate pipeline realities back into commitments sales can confidently make. Serve as a senior point of contact on delivery scope, status, and escalations for key AI-lab accounts.
• Metrics & Reporting: Build data-driven reporting for the delivery function — time-to-delivery, dataset volume and yield, QA pass rates, rework, and SLA adherence. Use fleet- and pipeline-level data to spot bottlenecks and quality trends before they threaten a delivery.
What you bring:
• 5+ years as a TPM, Technical Program/Product Lead, or Data/Delivery Operations lead — ideally in ML/AI data, robotics, or another domain shipping complex technical deliverables to sophisticated customers.
• Data Delivery Expertise: Hands-on experience taking large, complex datasets or technical deliverables from an internal pipeline to an external customer at spec and on time — with a real feel for data quality, QA, and the failure modes of a delivery pipeline.
• Hands-On Technical Acumen: Comfortable in the data yourself — querying databases (e.g., SQL, MongoDB), writing scripts (e.g., Python) to reshape, validate, or QA datasets, and prototyping tooling before handing it to Engineering to productionize. You can read a schema and a telemetry dashboard, not just a status report.
• Senior IC Leadership: Proven ability to lead by influence without direct reports — aligning sales, engineers, and operators around a single delivery schedule and holding them to it in a fast-moving, early-stage environment.
• Systems & Process Mastery: Skilled at configuring workflow and tracking systems (Jira, Asana, Linear, or similar) and building lightweight process and reporting that brings order to chaotic, high-growth scaling environments.
• Customer-Ready Communication: Able to represent Mecka credibly to technical AI-lab customers — clear on scope, status, and trade-offs — while keeping internal teams honest about what can actually ship.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nOwn the program that turns Mecka’s ego-data pipeline into on-time, at-spec dataset deliveries to frontier AI labs. You will sit at the seam between our ego-data sales & delivery team and the engineering that produces the data — driving delivery execution against customer commitments while iteratively building the tooling, standards, and datasets that let us scale from bespoke drops to a repeatable delivery engine.\n\nThis is a hands-on, senior IC role. You will be equally comfortable running a delivery schedule with a demanding AI-lab customer, writing a script to reshape a dataset or query a pipeline, and defining the spec that makes the next delivery faster than the last.\n\n\n\nWhat you will be doing:\n\n• End-to-End Delivery Program Ownership: Act as the lead program owner for our highest-value ego-data deliveries. Drive cross-functional execution across Sales, Data Operations, Labeling, and Engineering to ship datasets that meet each customer’s spec, volume, and timeline — owning the master delivery schedule and holding contributors accountable to it.\n\n• Delivery Tooling & Automation: Iterate on the tooling that packages, validates, and hands off ego datasets. Prototype and build — scripts, QA checks, packaging and manifest tooling, delivery dashboards — then partner with Engineering to harden what works into durable infrastructure. Every delivery should leave the pipeline faster and more automated than it found it.\n\n• Dataset Quality & Standards: Define and enforce the standards that make an ego dataset \"delivery-ready\" — completeness, metadata, taxonomy, formatting, and QA gates. Turn recurring delivery pain into reusable specs, checklists, and automated validation so quality is built in, not inspected in.\n\n• Sales & Customer Delivery Partnership: Partner with the ego-data sales & delivery team to translate customer requirements into concrete delivery plans, and translate pipeline realities back into commitments sales can confidently make. Serve as a senior point of contact on delivery scope, status, and escalations for key AI-lab accounts.\n\n• Metrics & Reporting: Build data-driven reporting for the delivery function — time-to-delivery, dataset volume and yield, QA pass rates, rework, and SLA adherence. Use fleet- and pipeline-level data to spot bottlenecks and quality trends before they threaten a delivery.\n\n\n\nWhat you bring:\n\n• 5+ years as a TPM, Technical Program/Product Lead, or Data/Delivery Operations lead — ideally in ML/AI data, robotics, or another domain shipping complex technical deliverables to sophisticated customers.\n\n• Data Delivery Expertise: Hands-on experience taking large, complex datasets or technical deliverables from an internal pipeline to an external customer at spec and on time — with a real feel for data quality, QA, and the failure modes of a delivery pipeline.\n\n• Hands-On Technical Acumen: Comfortable in the data yourself — querying databases (e.g., SQL, MongoDB), writing scripts (e.g., Python) to reshape, validate, or QA datasets, and prototyping tooling before handing it to Engineering to productionize. You can read a schema and a telemetry dashboard, not just a status report.\n\n• Senior IC Leadership: Proven ability to lead by influence without direct reports — aligning sales, engineers, and operators around a single delivery schedule and holding them to it in a fast-moving, early-stage environment.\n\n• Systems & Process Mastery: Skilled at configuring workflow and tracking systems (Jira, Asana, Linear, or similar) and building lightweight process and reporting that brings order to chaotic, high-growth scaling environments.\n\n• Customer-Ready Communication: Able to represent Mecka credibly to technical AI-lab customers — clear on scope, status, and trade-offs — while keeping internal teams honest about what can actually ship.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$150K – $200K","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"81ba75d0-ee61-4a48-a030-8a9361931245","tierSummary":"$150K – $200K","title":null,"additionalInformation":null,"components":[{"id":"3bf0b1dc-651c-4347-afee-12cb14a113ff","summary":"$150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}},{"id":"85ad0afc-ebf9-41ad-8928-503c4e1c4e29","title":"Head of Commercial Sales & Business Development","department":"Sales & Customer Delivery","team":"Sales & Customer Delivery","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-24T01:53:21.785+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/85ad0afc-ebf9-41ad-8928-503c4e1c4e29","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/85ad0afc-ebf9-41ad-8928-503c4e1c4e29/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We are seeking a seasoned, high-speed Commercial Leader to build and scale our US commercial robotics division from zero to one. You will own our entire Go-To-Market (GTM) strategy, commercial vision, pipeline velocity, and revenue execution.
Rather than relying purely on technical sales, you will lead with operational value propositions—selling business outcomes, labor savings, and facility performance to corporate executives, commercial real estate owners, and facility management leaders.
You are an expert at structuring complex deals (both CapEx and recurring subscription/RaaS models) and accelerating deployments across key verticals like healthcare, hospitality, aviation, and commercial real estate.
Commercial Strategy & Market Vision: Formulate and execute the US market expansion strategy, identifying high-yield target verticals, pricing models, and deployment roadmaps.
Pipeline Generation & Revenue Execution: Hunt, negotiate, and close high-value multi-unit fleet deals directly with enterprise facilities leaders and operational decision-makers.
Commercial Offer Design: Structure and iterate on CapEx hardware sales, hardware-as-a-service (RaaS) subscriptions, and pilot-to-contract frameworks to minimize buyer friction and maximize velocity.
Channel & Strategic Partnerships: Build relationships with key industry stakeholders—including national facility management vendors, janitorial distributors, and real estate service providers—to scale distribution rapidly.
Deployment Acceleration: Partner closely with internal deployment and operations leads to ensure signed accounts transition smoothly into rapid, multi-site deployments.
6–10+ years of progressive commercial sales leadership, GTM strategy, or business development experience closing complex B2B solutions (e.g., enterprise hardware/IoT, commercial real estate tech, facility services, or industrial equipment).
Demonstrated track record of launching new products or territories, building GTM playbooks from scratch, and consistently scaling revenue ahead of aggressive targets.
Mastery of executive-level value selling—ability to pitch CFOs, VPs of Operations, and procurement teams on financial ROI, payback periods, and operational efficiency.
High-speed, \"go-getter\" mentality: a scrappy, multi-faceted builder who thrives in ambiguity, moves products fast, and does whatever it takes to secure and activate client sites.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe are seeking a seasoned, high-speed Commercial Leader to build and scale our US commercial robotics division from zero to one. You will own our entire Go-To-Market (GTM) strategy, commercial vision, pipeline velocity, and revenue execution.\n\nRather than relying purely on technical sales, you will lead with operational value propositions—selling business outcomes, labor savings, and facility performance to corporate executives, commercial real estate owners, and facility management leaders. \n\nYou are an expert at structuring complex deals (both CapEx and recurring subscription/RaaS models) and accelerating deployments across key verticals like healthcare, hospitality, aviation, and commercial real estate.\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Commercial Strategy & Market Vision: Formulate and execute the US market expansion strategy, identifying high-yield target verticals, pricing models, and deployment roadmaps.\n\n - Pipeline Generation & Revenue Execution: Hunt, negotiate, and close high-value multi-unit fleet deals directly with enterprise facilities leaders and operational decision-makers.\n\n - Commercial Offer Design: Structure and iterate on CapEx hardware sales, hardware-as-a-service (RaaS) subscriptions, and pilot-to-contract frameworks to minimize buyer friction and maximize velocity.\n\n - Channel & Strategic Partnerships: Build relationships with key industry stakeholders—including national facility management vendors, janitorial distributors, and real estate service providers—to scale distribution rapidly.\n\n - Deployment Acceleration: Partner closely with internal deployment and operations leads to ensure signed accounts transition smoothly into rapid, multi-site deployments.\n\n\n\n\nWHAT YOU BRING:\n\n - 6–10+ years of progressive commercial sales leadership, GTM strategy, or business development experience closing complex B2B solutions (e.g., enterprise hardware/IoT, commercial real estate tech, facility services, or industrial equipment).\n\n - Demonstrated track record of launching new products or territories, building GTM playbooks from scratch, and consistently scaling revenue ahead of aggressive targets.\n\n - Mastery of executive-level value selling—ability to pitch CFOs, VPs of Operations, and procurement teams on financial ROI, payback periods, and operational efficiency.\n\n - High-speed, \"go-getter\" mentality: a scrappy, multi-faceted builder who thrives in ambiguity, moves products fast, and does whatever it takes to secure and activate client sites.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$220K – $250K","scrapeableCompensationSalarySummary":"$220K - $250K","compensationTiers":[{"id":"d79f24c7-c7b1-46f3-a073-aff7f82c2994","tierSummary":"$220K – $250K","title":null,"additionalInformation":null,"components":[{"id":"1c2de6a2-23a2-453d-8af7-690d008d53e0","summary":"$220K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":250000}]}},{"id":"929b7798-ca79-404c-a1b9-802f9183c22e","title":"GTM Associate, Data Partnerships","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-25T22:22:12.639+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/929b7798-ca79-404c-a1b9-802f9183c22e","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/929b7798-ca79-404c-a1b9-802f9183c22e/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring a GTM Associate to open doors with established businesses that could become Mecka data partners. Reporting to the Data Partnerships Lead, you will research accounts, engage decision-makers, and turn initial interest into qualified opportunities for the Lead or an Account Executive. This is an outbound business-development / SDR role focused on prospecting, initial qualification, and useful handoffs
Build accurate company and contact lists in priority segments, identifying why each business's data may be relevant and who can evaluate a partnership.
Generate conversations through personalized email, phone, LinkedIn, and other approved channels, explaining how businesses can unlock value from their existing data.
Qualify business fit, the plausible data opportunity, the relevant contact, and willingness to explore a partnership; flag open questions for Legal without promising terms.
Create qualified opportunities accepted by the Lead or AE, with substantive discovery meetings and clear notes on stakeholders, fit, concerns, and next steps.
Keep outreach and opportunities moving through consistent follow-up, account re-engagement, and accurate CRM records that let the closer continue without starting over.
Improve targeting and messaging by using handoff feedback, downstream opportunity quality, response patterns, and recurring objections to refine the outreach playbook.
Evidence of effective prospecting, business development, lead generation, or comparable customer-facing work.
Strong account research and clear written and verbal communication, including focused outreach and thoughtful initial conversations.
Persistence, organization, and reliable follow-through; able to handle rejection and adapt without constant supervision.
Coachability and a willingness to use feedback and work toward measurable outcomes.
Based in New York or San Francisco, or willing to relocate.
Experience with CRM, account research, and outbound prospecting tools.
Experience reaching senior operators or technical decision-makers, or helping build an early-stage outreach process.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring a GTM Associate to open doors with established businesses that could become Mecka data partners. Reporting to the Data Partnerships Lead, you will research accounts, engage decision-makers, and turn initial interest into qualified opportunities for the Lead or an Account Executive. This is an outbound business-development / SDR role focused on prospecting, initial qualification, and useful handoffs\n\n \n\n\nWHAT YOU'LL BE DOING:\n\n - Build accurate company and contact lists in priority segments, identifying why each business's data may be relevant and who can evaluate a partnership.\n\n - Generate conversations through personalized email, phone, LinkedIn, and other approved channels, explaining how businesses can unlock value from their existing data.\n\n - Qualify business fit, the plausible data opportunity, the relevant contact, and willingness to explore a partnership; flag open questions for Legal without promising terms.\n\n - Create qualified opportunities accepted by the Lead or AE, with substantive discovery meetings and clear notes on stakeholders, fit, concerns, and next steps.\n\n - Keep outreach and opportunities moving through consistent follow-up, account re-engagement, and accurate CRM records that let the closer continue without starting over.\n\n - Improve targeting and messaging by using handoff feedback, downstream opportunity quality, response patterns, and recurring objections to refine the outreach playbook.\n\n \n\n\nWHAT YOU BRING:\n\n - Evidence of effective prospecting, business development, lead generation, or comparable customer-facing work.\n\n - Strong account research and clear written and verbal communication, including focused outreach and thoughtful initial conversations.\n\n - Persistence, organization, and reliable follow-through; able to handle rejection and adapt without constant supervision.\n\n - Coachability and a willingness to use feedback and work toward measurable outcomes.\n\n - Based in New York or San Francisco, or willing to relocate.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience with CRM, account research, and outbound prospecting tools.\n\n - Experience reaching senior operators or technical decision-makers, or helping build an early-stage outreach process.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$80K – $90K • Offers Equity • $15K – $30K Commission","scrapeableCompensationSalarySummary":"$80K - $90K","compensationTiers":[{"id":"0306172c-7dc8-4c43-97b6-7f47c00d3a14","tierSummary":"$80K – $90K • Offers Equity • $15K – $30K Commission","title":null,"additionalInformation":null,"components":[{"id":"09138abd-5f60-4e75-8abc-8a1cac1f679a","summary":"$80K – $90K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":80000,"maxValue":90000},{"id":"4614b32b-6f42-46b3-981a-c5807ac0081b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"961d0699-61e8-4113-a120-08fa80998f7d","summary":"$15K – $30K Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":15000,"maxValue":30000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":80000,"maxValue":90000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":15000,"maxValue":30000}]}},{"id":"7621126d-7265-498d-bc96-e349175c94d6","title":"Account Executive, Data Partnerships","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-25T22:13:29.388+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/7621126d-7265-498d-bc96-e349175c94d6","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/7621126d-7265-498d-bc96-e349175c94d6/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring an Account Executive to turn qualified business opportunities into productive Mecka data partnerships. Reporting to the Data Partnerships Lead, you will own discovery, proposals, negotiation, closing, and commercial follow-through to first accepted delivery, while working with GTM Associates / SDRs and sourcing strategic opportunities yourself. This is an individual-contributor role building data partnerships, not managing SDRs.
Qualify useful, deliverable opportunities through deep discovery into a business's data, priorities, decision-makers, and reasons to partner.
Build alignment across business, technical, and legal stakeholders; coordinate data samples and feasibility reviews, and bring in Legal on partnership terms early.
Develop proposals with a clear partnership case, defined scope, deliverables, economics, and responsibilities.
Negotiate commercial terms within approved limits and drive opportunities through required specialist reviews, approvals, and signed agreements.
Give Operations clear onboarding plans and remain the commercial point of contact through first accepted delivery, resolving partner-side blockers while specialists own implementation and data acceptance.
Own an opportunity portfolio and source strategic accounts independently; provide useful feedback on SDR handoffs and keep CRM stages, risks, next steps, and forecasts accurate.
Build trusted partner relationships and identify repeat-delivery or expansion opportunities with the Lead, sharing deal patterns and win/loss learning to improve the closing playbook.
Personally negotiated and closed B2B deals or partnerships, including self-sourced opportunities.
Strong discovery and commercial judgment: can qualify a business, build a partnership case, and navigate multiple stakeholders.
Comfort with non-standard commercial terms and the judgment to involve Legal or technical specialists when needed.
Disciplined pipeline ownership, accurate forecasting, and the ability to build trust with senior operators and technical decision-makers.
Based in New York or San Francisco, or willing to relocate.
Experience with licensing, data partnerships, or technical B2B deals.
Early-stage experience closing deals without a mature playbook and staying involved after signature to support delivery.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring an Account Executive to turn qualified business opportunities into productive Mecka data partnerships. Reporting to the Data Partnerships Lead, you will own discovery, proposals, negotiation, closing, and commercial follow-through to first accepted delivery, while working with GTM Associates / SDRs and sourcing strategic opportunities yourself. This is an individual-contributor role building data partnerships, not managing SDRs.\n\n \n\n\nWHAT YOU WILL BE DOING:\n\n - Qualify useful, deliverable opportunities through deep discovery into a business's data, priorities, decision-makers, and reasons to partner.\n\n - Build alignment across business, technical, and legal stakeholders; coordinate data samples and feasibility reviews, and bring in Legal on partnership terms early.\n\n - Develop proposals with a clear partnership case, defined scope, deliverables, economics, and responsibilities.\n\n - Negotiate commercial terms within approved limits and drive opportunities through required specialist reviews, approvals, and signed agreements.\n\n - Give Operations clear onboarding plans and remain the commercial point of contact through first accepted delivery, resolving partner-side blockers while specialists own implementation and data acceptance.\n\n - Own an opportunity portfolio and source strategic accounts independently; provide useful feedback on SDR handoffs and keep CRM stages, risks, next steps, and forecasts accurate.\n\n - Build trusted partner relationships and identify repeat-delivery or expansion opportunities with the Lead, sharing deal patterns and win/loss learning to improve the closing playbook.\n\n \n\n\nWHAT YOU BRING\n\n - Personally negotiated and closed B2B deals or partnerships, including self-sourced opportunities.\n\n - Strong discovery and commercial judgment: can qualify a business, build a partnership case, and navigate multiple stakeholders.\n\n - Comfort with non-standard commercial terms and the judgment to involve Legal or technical specialists when needed.\n\n - Disciplined pipeline ownership, accurate forecasting, and the ability to build trust with senior operators and technical decision-makers.\n\n - Based in New York or San Francisco, or willing to relocate.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience with licensing, data partnerships, or technical B2B deals.\n\n - Early-stage experience closing deals without a mature playbook and staying involved after signature to support delivery.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$100K – $110K • Offers Equity • $20K – $30K Commission","scrapeableCompensationSalarySummary":"$100K - $110K","compensationTiers":[{"id":"c6e96461-501b-46d0-8359-11d8664204ea","tierSummary":"$100K – $110K • Offers Equity • $20K – $30K Commission","title":null,"additionalInformation":null,"components":[{"id":"601a0ba9-d45e-4197-a042-283902eecdc6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"4609590e-69ee-4615-afb5-2d94d4b26da6","summary":"$20K – $30K Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":20000,"maxValue":30000},{"id":"00dc26f6-f7ce-4f9e-aaf5-35e8d61cff97","summary":"$100K – $110K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":110000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":20000,"maxValue":30000},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":110000}]}},{"id":"6feb5614-06a7-48cb-9d62-7e16434eac04","title":"Growth Marketing, Associate","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-25T21:43:27.229+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/6feb5614-06a7-48cb-9d62-7e16434eac04","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/6feb5614-06a7-48cb-9d62-7e16434eac04/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Mecka's datasets come from a global network of contributors capturing real-world data, and paid acquisition is one of the fastest ways to grow that network in new markets. As our Growth Marketing Associate, you'll run our paid acquisition funnels day to day, from ads and creative to landing pages and tracking, and turn budget into activated contributors at a cost we can scale. You'll report to our Growth Lead and work closely with our country teams across APAC, South America, and North America.
Run paid acquisition across Meta, TikTok, and Google/YouTube: launch campaigns, manage daily budgets, targeting, and bids, and scale what works market by market.
Produce and test new ad creative every week, in local languages and using AI tools, and learn fast which hooks, formats, and messages bring in contributors who stick.
Build and improve the funnel behind the ads, including landing pages, sign-up flows, and follow-up messages that move people from first click to first approved capture.
Set up tracking that ties every campaign to activated contributors, optimize for cost per activated contributor rather than cost per sign-up, and maintain sign-up quality.
Report weekly on spend, cost, and conversion by channel and market, with a clear recommendation on where the next dollar should go.
Work with country teams to adapt campaigns, offers, and messaging to each market.
Support growth experiments beyond paid, including referral, community, and partnerships, as the team grows.
1-3 years experience running paid campaigns on Meta, TikTok, or Google with real budget, whether at a company, at an agency, for clients, or on a project of your own.
Comfortable with numbers: you build your own spreadsheets, know funnel metrics like cost per acquisition and conversion rate, and make calls from data.
Quick with AI tools for creative, copy, and analysis, and can turn around several ad variations in a day.
Built something scrappy yourself, such as an online store, an app, a community, or a side project that grew.
Based in New York or San Francisco, or willing to relocate.
Experience with app-install campaigns, landing page builders, or product analytics tools.
Has done growth or marketing for a two-sided marketplace, gig platform, or community-driven product.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nMecka's datasets come from a global network of contributors capturing real-world data, and paid acquisition is one of the fastest ways to grow that network in new markets. As our Growth Marketing Associate, you'll run our paid acquisition funnels day to day, from ads and creative to landing pages and tracking, and turn budget into activated contributors at a cost we can scale. You'll report to our Growth Lead and work closely with our country teams across APAC, South America, and North America.\n\n \n\n\nWHAT YOU'LL BE DOING\n\n - Run paid acquisition across Meta, TikTok, and Google/YouTube: launch campaigns, manage daily budgets, targeting, and bids, and scale what works market by market.\n\n - Produce and test new ad creative every week, in local languages and using AI tools, and learn fast which hooks, formats, and messages bring in contributors who stick.\n\n - Build and improve the funnel behind the ads, including landing pages, sign-up flows, and follow-up messages that move people from first click to first approved capture.\n\n - Set up tracking that ties every campaign to activated contributors, optimize for cost per activated contributor rather than cost per sign-up, and maintain sign-up quality.\n\n - Report weekly on spend, cost, and conversion by channel and market, with a clear recommendation on where the next dollar should go.\n\n - Work with country teams to adapt campaigns, offers, and messaging to each market.\n\n - Support growth experiments beyond paid, including referral, community, and partnerships, as the team grows.\n\n\nWHAT YOU BRING:\n\n - 1-3 years experience running paid campaigns on Meta, TikTok, or Google with real budget, whether at a company, at an agency, for clients, or on a project of your own.\n\n - Comfortable with numbers: you build your own spreadsheets, know funnel metrics like cost per acquisition and conversion rate, and make calls from data.\n\n - Quick with AI tools for creative, copy, and analysis, and can turn around several ad variations in a day.\n\n - Built something scrappy yourself, such as an online store, an app, a community, or a side project that grew.\n\n - Based in New York or San Francisco, or willing to relocate.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience with app-install campaigns, landing page builders, or product analytics tools.\n\n - Has done growth or marketing for a two-sided marketplace, gig platform, or community-driven product.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$80K – $100K • Offers Equity","scrapeableCompensationSalarySummary":"$80K - $100K","compensationTiers":[{"id":"ddb911a6-10ed-4f03-86db-06f820d845ba","tierSummary":"$80K – $100K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"1e405426-473c-402b-b2ca-e9f294636e90","summary":"$80K – $100K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":80000,"maxValue":100000},{"id":"f6657b45-8b19-4562-88f6-98918c8da0c9","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":80000,"maxValue":100000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7026ba15-f151-4e0b-b234-0815591cc1e1","title":"Data Partnerships Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-25T22:17:16.935+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/7026ba15-f151-4e0b-b234-0815591cc1e1","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/7026ba15-f151-4e0b-b234-0815591cc1e1/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring a Data Partnerships Lead to build Mecka's data partnerships function and help established businesses unlock value from their data. You will personally source and close early partnerships, build a repeatable acquisition process, and hire and directly manage GTM Associates / SDRs and Account Executives. Working with the founders, data team, Legal, and Operations, you will own the commercial supply funnel from first contact through partner activation.
Prioritize industries and target businesses with the founders and data team, focusing on relevant data and a credible path to partnership.
Build and test the outbound acquisition process: account lists, messaging, outreach sequences, qualification standards, and CRM workflows that generate qualified opportunities.
Personally run early and strategic deals from discovery through negotiation and signature, securing sound commercial terms within approved limits.
Hire, onboard, and directly manage GTM Associates / SDRs and Account Executives; coach prospecting, discovery, negotiation, and closing.
Improve conversion and acquisition economics across the funnel, using clear stage criteria, forecasts, and documented playbooks to address bottlenecks.
Coordinate Legal and technical review before commitments, keeping legal approval, data acceptance, and onboarding execution with the responsible specialists.
Turn signed agreements into productive partnerships by resolving commercial and partner-side blockers with Operations and the data team through first accepted delivery.
Built B2B partnerships or outbound sales from an early stage without an inherited pipeline, including qualification standards, CRM processes, and useful forecasts.
Personally sourced, negotiated, and closed complex deals with senior business and technical stakeholders.
Hired, managed, or coached commercial teammates, improving both prospecting and closing performance.
Sound judgment around sensitive data, confidentiality, and ownership questions, including when to involve Legal or technical specialists.
Based in New York or San Francisco, or willing to relocate.
Experience with data licensing, content partnerships, or technical commercial agreements.
Experience working with data-rich businesses.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring a Data Partnerships Lead to build Mecka's data partnerships function and help established businesses unlock value from their data. You will personally source and close early partnerships, build a repeatable acquisition process, and hire and directly manage GTM Associates / SDRs and Account Executives. Working with the founders, data team, Legal, and Operations, you will own the commercial supply funnel from first contact through partner activation.\n\n \n\n\nWHAT YOU'LL BE DOING:\n\n - Prioritize industries and target businesses with the founders and data team, focusing on relevant data and a credible path to partnership.\n\n - Build and test the outbound acquisition process: account lists, messaging, outreach sequences, qualification standards, and CRM workflows that generate qualified opportunities.\n\n - Personally run early and strategic deals from discovery through negotiation and signature, securing sound commercial terms within approved limits.\n\n - Hire, onboard, and directly manage GTM Associates / SDRs and Account Executives; coach prospecting, discovery, negotiation, and closing.\n\n - Improve conversion and acquisition economics across the funnel, using clear stage criteria, forecasts, and documented playbooks to address bottlenecks.\n\n - Coordinate Legal and technical review before commitments, keeping legal approval, data acceptance, and onboarding execution with the responsible specialists.\n\n - Turn signed agreements into productive partnerships by resolving commercial and partner-side blockers with Operations and the data team through first accepted delivery.\n\n \n\n\nWHAT YOU BRING:\n\n - Built B2B partnerships or outbound sales from an early stage without an inherited pipeline, including qualification standards, CRM processes, and useful forecasts.\n\n - Personally sourced, negotiated, and closed complex deals with senior business and technical stakeholders.\n\n - Hired, managed, or coached commercial teammates, improving both prospecting and closing performance.\n\n - Sound judgment around sensitive data, confidentiality, and ownership questions, including when to involve Legal or technical specialists.\n\n - Based in New York or San Francisco, or willing to relocate.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience with data licensing, content partnerships, or technical commercial agreements.\n\n - Experience working with data-rich businesses.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$120K – $140K • Offers Equity • $45K – $65K Commission","scrapeableCompensationSalarySummary":"$120K - $140K","compensationTiers":[{"id":"94818402-9ced-4b21-bec2-da7a7baef813","tierSummary":"$120K – $140K • Offers Equity • $45K – $65K Commission","title":null,"additionalInformation":null,"components":[{"id":"af9e8624-4786-4397-8ef1-4e5ab4263a3c","summary":"$120K – $140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000},{"id":"a951e410-ef13-41be-bd2d-e72dc23bfeec","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"95e37699-a1a8-408e-9cd3-2361739d2ffe","summary":"$45K – $65K Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":45000,"maxValue":65000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":45000,"maxValue":65000}]}},{"id":"7e258a15-7a64-4e8e-be38-fa463b0295e1","title":"Global Payroll & Benefits Manager","department":"People","team":"People Ops","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-28T15:41:26.472+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/7e258a15-7a64-4e8e-be38-fa463b0295e1","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/7e258a15-7a64-4e8e-be38-fa463b0295e1/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We’re looking for a hands-on Global Payroll & Benefits Manager to own payroll and benefits across Canada and the United States while helping us build the infrastructure to support a growing global team.
This is an end-to-end ownership role. You will ensure our people are paid accurately and on time, administer competitive benefits programs, manage payroll and benefits providers, and build reliable processes that can scale as we add employees, entities and countries.
You’ll work closely with People, Finance, Legal and external partners—including payroll providers, benefits brokers, PEOs and employers of record. The right person is highly detail-oriented, responsive to employees and comfortable moving between day-to-day execution and longer-term process improvement.
Own end-to-end payroll for employees in Canada and the United States, including multi-provincial and multi-state payroll.
Coordinate international payroll and contractor payments through employers of record, local providers and global platforms.
Review and process new hires, terminations, compensation changes, bonuses, commissions, leaves, taxable benefits, deductions and other payroll inputs.
Ensure accurate and timely tax remittances, statutory filings and year-end reporting, including T4s, Records of Employment, W-2s and other required documentation.
Manage payroll reconciliations, funding, approvals and post-payroll reporting.
Partner with Finance on journal entries, payroll accruals, general-ledger reconciliation, budgeting and audits.
Maintain clear controls, documentation and approval processes so payroll remains accurate, secure and audit-ready.
Monitor changes to payroll and employment requirements across the jurisdictions where we operate.
Administer benefits programs across Canada and the United States, including health and dental coverage, retirement programs, life and disability insurance, leave programs and employee perks.
Lead enrolments, qualifying-life-event changes, terminations, employee communications and ongoing benefits support.
Manage relationships with benefits brokers, carriers, retirement providers and other vendors.
Coordinate annual benefits renewals and open enrolment, reviewing utilization, employee needs, cost and market competitiveness.
Ensure payroll deductions and employer contributions are accurate and reconciled with benefits-provider records.
Support the development of consistent global benefits principles while accounting for local market and statutory requirements.
Help evaluate and implement benefits programs as Mecka enters new countries.
Serve as the internal subject-matter expert and primary employee contact for payroll and benefits questions.
Own the accuracy of payroll and benefits data across our HRIS, payroll, finance and benefits systems.
Manage integrations and data flows between platforms, identifying and resolving discrepancies before they affect employees.
Improve and automate processes to reduce manual work, strengthen controls and support continued growth.
Develop employee-facing documentation that makes payroll and benefits easy to understand.
Protect highly confidential employee and compensation information with sound judgment and discretion.
At least five years of hands-on experience owning payroll and benefits operations.
Direct experience running payroll in both Canada and the United States.
Strong knowledge of Canadian federal and provincial payroll requirements, including income tax, CPP, EI, Records of Employment and T4 reporting.
Strong knowledge of U.S. federal, state and local payroll requirements, including payroll taxes, deductions, wage requirements and W-2 reporting.
Experience administering Canadian and U.S. benefits and retirement programs.
Experience managing payroll and benefits vendors, brokers or external service providers.
Strong reconciliation, reporting and data-management skills.
Exceptional attention to detail and the ability to meet immovable deadlines.
A service mindset and the ability to explain complex payroll or benefits issues clearly and empathetically.
Comfort operating independently in a fast-moving environment where processes are still being built.
Experience supporting payroll or benefits across additional international markets.
Experience working with an employer of record or global payroll provider such as Deel.
Experience with Rippling or another modern HRIS and payroll platform.
Experience supporting employees across multiple entities and employment models.
Familiarity with payroll accounting, audit controls, SOC 2 requirements or finance-system integrations.
Payroll or benefits certification, such as PCP, PLP, CPP, CEBS or Global Payroll Management certification.
Experience in a high-growth technology
Within your first six months:
Canada and U.S. payroll runs accurately, on time and with clear controls.
Payroll, benefits and HRIS data are consistently reconciled.
Employees receive prompt, clear support when they have payroll or benefits questions.
Key processes and responsibilities are documented and audit-ready.
Vendor performance, costs and service levels are actively managed.
Mecka has a scalable approach for adding employees and entering new countries.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe’re looking for a hands-on Global Payroll & Benefits Manager to own payroll and benefits across Canada and the United States while helping us build the infrastructure to support a growing global team.\n\nThis is an end-to-end ownership role. You will ensure our people are paid accurately and on time, administer competitive benefits programs, manage payroll and benefits providers, and build reliable processes that can scale as we add employees, entities and countries.\n\nYou’ll work closely with People, Finance, Legal and external partners—including payroll providers, benefits brokers, PEOs and employers of record. The right person is highly detail-oriented, responsive to employees and comfortable moving between day-to-day execution and longer-term process improvement.\n\n\n\n\nWHAT YOU’LL DO\n\n\nPAYROLL\n\n - Own end-to-end payroll for employees in Canada and the United States, including multi-provincial and multi-state payroll.\n\n - Coordinate international payroll and contractor payments through employers of record, local providers and global platforms.\n\n - Review and process new hires, terminations, compensation changes, bonuses, commissions, leaves, taxable benefits, deductions and other payroll inputs.\n\n - Ensure accurate and timely tax remittances, statutory filings and year-end reporting, including T4s, Records of Employment, W-2s and other required documentation.\n\n - Manage payroll reconciliations, funding, approvals and post-payroll reporting.\n\n - Partner with Finance on journal entries, payroll accruals, general-ledger reconciliation, budgeting and audits.\n\n - Maintain clear controls, documentation and approval processes so payroll remains accurate, secure and audit-ready.\n\n - Monitor changes to payroll and employment requirements across the jurisdictions where we operate.\n\n\nBENEFITS\n\n - Administer benefits programs across Canada and the United States, including health and dental coverage, retirement programs, life and disability insurance, leave programs and employee perks.\n\n - Lead enrolments, qualifying-life-event changes, terminations, employee communications and ongoing benefits support.\n\n - Manage relationships with benefits brokers, carriers, retirement providers and other vendors.\n\n - Coordinate annual benefits renewals and open enrolment, reviewing utilization, employee needs, cost and market competitiveness.\n\n - Ensure payroll deductions and employer contributions are accurate and reconciled with benefits-provider records.\n\n - Support the development of consistent global benefits principles while accounting for local market and statutory requirements.\n\n - Help evaluate and implement benefits programs as Mecka enters new countries.\n\n\nSYSTEMS, PROCESS AND EMPLOYEE EXPERIENCE\n\n - Serve as the internal subject-matter expert and primary employee contact for payroll and benefits questions.\n\n - Own the accuracy of payroll and benefits data across our HRIS, payroll, finance and benefits systems.\n\n - Manage integrations and data flows between platforms, identifying and resolving discrepancies before they affect employees.\n\n - Improve and automate processes to reduce manual work, strengthen controls and support continued growth.\n\n - Develop employee-facing documentation that makes payroll and benefits easy to understand.\n\n - Protect highly confidential employee and compensation information with sound judgment and discretion.\n\n\nWHAT YOU BRING\n\n - At least five years of hands-on experience owning payroll and benefits operations.\n\n - Direct experience running payroll in both Canada and the United States.\n\n - Strong knowledge of Canadian federal and provincial payroll requirements, including income tax, CPP, EI, Records of Employment and T4 reporting.\n\n - Strong knowledge of U.S. federal, state and local payroll requirements, including payroll taxes, deductions, wage requirements and W-2 reporting.\n\n - Experience administering Canadian and U.S. benefits and retirement programs.\n\n - Experience managing payroll and benefits vendors, brokers or external service providers.\n\n - Strong reconciliation, reporting and data-management skills.\n\n - Exceptional attention to detail and the ability to meet immovable deadlines.\n\n - A service mindset and the ability to explain complex payroll or benefits issues clearly and empathetically.\n\n - Comfort operating independently in a fast-moving environment where processes are still being built.\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience supporting payroll or benefits across additional international markets.\n\n - Experience working with an employer of record or global payroll provider such as Deel.\n\n - Experience with Rippling or another modern HRIS and payroll platform.\n\n - Experience supporting employees across multiple entities and employment models.\n\n - Familiarity with payroll accounting, audit controls, SOC 2 requirements or finance-system integrations.\n\n - Payroll or benefits certification, such as PCP, PLP, CPP, CEBS or Global Payroll Management certification.\n\n - Experience in a high-growth technology\n\n\nWHAT SUCCESS LOOKS LIKE\n\nWithin your first six months:\n\n - Canada and U.S. payroll runs accurately, on time and with clear controls.\n\n - Payroll, benefits and HRIS data are consistently reconciled.\n\n - Employees receive prompt, clear support when they have payroll or benefits questions.\n\n - Key processes and responsibilities are documented and audit-ready.\n\n - Vendor performance, costs and service levels are actively managed.\n\n - Mecka has a scalable approach for adding employees and entering new countries.\n\n\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$130K – CA$150K • Offers Equity","scrapeableCompensationSalarySummary":"CA$130K - CA$150K","compensationTiers":[{"id":"bc211cdc-4186-46a7-b5a1-1b53c81fda6a","tierSummary":"CA$130K – CA$150K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"35422980-fa10-4240-8182-91ba4e95c629","summary":"CA$130K – CA$150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":130000,"maxValue":150000},{"id":"9daec012-10ff-4456-a12c-386e7819bad5","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":130000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"4a37b99d-6305-4344-b6d2-acbe31719072","title":"Research Scientist – Body Pose Detection","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-28T18:19:09.561+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/4a37b99d-6305-4344-b6d2-acbe31719072","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/4a37b99d-6305-4344-b6d2-acbe31719072/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
While our existing perception division handles state estimation and spatial mapping, this role is dedicated to one of the most critical bottlenecks in embodied AI: full-body kinematics, human locomotion, and human-scene interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D human body tracking and articulated pose estimation.
Your core mandate is twofold: building our in-house equivalents to cutting-edge 3D human body and mesh recovery architectures, and developing highly robust interaction models tailored for complex, real-world environments characterized by severe occlusions and dynamic motion. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.
To achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth human motion data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete human-scene perception loop for our data engine.
Architecting Proprietary Articulation Models
Zero-to-One Model Development: Design, implement, and train state-of-the-art networks for 3D human pose estimation, dense full-body mesh recovery, and kinematic tracking.
Large-Scale Distributed Training: Scale multi-view and temporal ML architectures across multi-GPU clusters to handle massive, multi-modal datasets of humans navigating and interacting with their environments.
Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions that enforce biomechanical constraints, temporal smoothness, postural balance, and physical plausibility.
Human-Scene Interaction (HSI) & Complex Motion Modeling
Dynamic Scene Understanding: Build and train custom architectures capable of handling extreme motion blur, severe self-occlusion, and multi-person crowding inherent in real-world human behavior.
Allocentric & Egocentric Tracking: Use your models to track human bodies through complex spaces, mapping foot-to-ground contact, joint torques, and environmental affordances to provide rich regularization for downstream action-conditioned robotics models (especially humanoid robots).
Emergent Perception R&D
Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning fine-grained action segmentation, intent prediction, and novel hardware sensor integrations.
Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities for our robotics customers.
Dense Contact & Physics-Aware Tracking
Interaction Integration: Connect the outputs of your foundational tracking models into highly optimized pipelines that reason about physical contact surfaces, gravity, and momentum, directly bridging the gap between human video data and robotic control/locomotion policies.
Required Background
Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Human Body Pose Estimation.
Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.
Strong theoretical and practical understanding of parametric human body models (e.g., SMPL, SMPL-X, GHUM, MHR, SOMA-X), inverse kinematics, and dense mesh estimation.
Mastery of PyTorch and deep learning scaling frameworks.
Experience handling and curating massive, multi-terabyte image and video datasets for training.
Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.
Strong Signals:
First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D human pose tracking, human-scene interaction (HSI), human motion capture, or human mesh recovery.
Specific experience working with massive human motion and interaction datasets (e.g., AMASS, Human3.6M, EgoBody, PROX) and solving the unique optimization challenges they present.
The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human motion that most academic researchers only dream of.
Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents—from mobile manipulators to humanoid robots—learn to physically navigate, balance, and interact with the world.
Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWhile our existing perception division handles state estimation and spatial mapping, this role is dedicated to one of the most critical bottlenecks in embodied AI: full-body kinematics, human locomotion, and human-scene interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D human body tracking and articulated pose estimation.\n\nYour core mandate is twofold: building our in-house equivalents to cutting-edge 3D human body and mesh recovery architectures, and developing highly robust interaction models tailored for complex, real-world environments characterized by severe occlusions and dynamic motion. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.\n\nTo achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth human motion data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete human-scene perception loop for our data engine.\n\n\n\n\nWHAT YOU'LL WORK ON\n\nArchitecting Proprietary Articulation Models\n\n - Zero-to-One Model Development: Design, implement, and train state-of-the-art networks for 3D human pose estimation, dense full-body mesh recovery, and kinematic tracking.\n\n - Large-Scale Distributed Training: Scale multi-view and temporal ML architectures across multi-GPU clusters to handle massive, multi-modal datasets of humans navigating and interacting with their environments.\n\n - Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions that enforce biomechanical constraints, temporal smoothness, postural balance, and physical plausibility.\n\nHuman-Scene Interaction (HSI) & Complex Motion Modeling\n\n - Dynamic Scene Understanding: Build and train custom architectures capable of handling extreme motion blur, severe self-occlusion, and multi-person crowding inherent in real-world human behavior.\n\n - Allocentric & Egocentric Tracking: Use your models to track human bodies through complex spaces, mapping foot-to-ground contact, joint torques, and environmental affordances to provide rich regularization for downstream action-conditioned robotics models (especially humanoid robots).\n\nEmergent Perception R&D\n\n - Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning fine-grained action segmentation, intent prediction, and novel hardware sensor integrations.\n\n - Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities for our robotics customers.\n\nDense Contact & Physics-Aware Tracking\n\n - Interaction Integration: Connect the outputs of your foundational tracking models into highly optimized pipelines that reason about physical contact surfaces, gravity, and momentum, directly bridging the gap between human video data and robotic control/locomotion policies.\n\n\n\n\nWHAT YOU BRING\n\nRequired Background\n\n - Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Human Body Pose Estimation.\n\n - Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.\n\n - Strong theoretical and practical understanding of parametric human body models (e.g., SMPL, SMPL-X, GHUM, MHR, SOMA-X), inverse kinematics, and dense mesh estimation.\n\n - Mastery of PyTorch and deep learning scaling frameworks.\n\n - Experience handling and curating massive, multi-terabyte image and video datasets for training.\n\n - Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.\n\n\n\nStrong Signals:\n\n - First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D human pose tracking, human-scene interaction (HSI), human motion capture, or human mesh recovery.\n\n - Specific experience working with massive human motion and interaction datasets (e.g., AMASS, Human3.6M, EgoBody, PROX) and solving the unique optimization challenges they present.\n\n\n\n\nWHY THIS ROLE?\n\n - The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human motion that most academic researchers only dream of.\n\n - Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.\n\n - High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents—from mobile manipulators to humanoid robots—learn to physically navigate, balance, and interact with the world.\n\nWarning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$150K – $200K","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"bd1668ee-f601-4c25-9b02-8a8719a57029","tierSummary":"$150K – $200K","title":null,"additionalInformation":null,"components":[{"id":"0bb3fa93-c930-4aaf-a668-677ff20332b1","summary":"$150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}},{"id":"45d2c0f7-07ff-4a59-90a7-d9c2e3f8c502","title":"Software Engineer, Payments and Revenue","department":"Software & Data","team":"Software & Data","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-28T20:55:02.785+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/45d2c0f7-07ff-4a59-90a7-d9c2e3f8c502","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/45d2c0f7-07ff-4a59-90a7-d9c2e3f8c502/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Mecka operates globally, moving money across currencies, entities, payment providers, and banking rails. As we scale, we are building the infrastructure to automate how payments, payouts, revenue, and financial data move through the company.
In this role, you will build and own Mecka's payments and revenue infrastructure, including global payouts, payment orchestration, provider integrations, reconciliation, invoicing, revenue recognition, and internal finance tooling. You will partner closely with finance and operations to replace manual workflows with reliable, scalable, and auditable systems.
• Payments infrastructure: Design, build, and operate backend systems that schedule, validate, route, send, and track global payments and payouts across multiple providers, currencies, and banking rails.
• Payment integrations: Build and maintain integrations with payment platforms, banks, payroll providers, and financial systems, handling APIs, webhooks, rate limits, retries, settlement, and failure modes.
• Reconciliation: Automate reconciliation across payouts, invoices, operational records, bank transactions, and accounting systems, ensuring every movement of money is traceable and discrepancies surface quickly.
• Revenue infrastructure: Build systems supporting invoicing, billing, collections, payment tracking, and revenue reconciliation, creating reliable connections between operational and financial data.
• Revenue recognition: Partner with finance to translate contract terms, delivery milestones, usage data, and billing events into automated revenue recognition workflows, including unbilled revenue, deferred revenue, accruals, and accounting-system entries.
• Reliability: Design money movement and financial workflows around idempotency, transaction integrity, observability, audit trails, permissions, and safe recovery from partial or failed transactions.
• Automation: Partner with finance and operations to identify manual, spreadsheet-heavy workflows and turn them into scalable internal tools and automated processes.
• Experience: 3-5 years of backend development experience with a focus on payment systems, distributed systems, or cloud infrastructure.
• Computer science: Strong computer science fundamentals with a degree in Computer Science, Software Engineering, Computer Engineering, or a similarly rigorous technical discipline strongly preferred.
• Backend engineering: Strong experience building production backend and distributed systems where correctness, reliability, and data integrity are critical.
• High-concurrency systems: Strong programming experience building and managing high-concurrency, complex business systems and services.
• Programming languages: Proficiency in at least one backend language, including C++, Java, Go, Python, or Shell.
• Payments: Experience with payments, billing, fintech, marketplaces, banking infrastructure, or other high-volume transactional systems.
• Systems design: Strong understanding of APIs, databases, concurrency, idempotency, retries, transaction boundaries, event-driven systems, and reconciliation.
• Ownership: Experience owning critical systems in production, including monitoring, incident response, debugging, and root-cause remediation.
• Industry: Experience at a leading fintech or payments company such as Stripe, Coinbase, Block, Adyen, Plaid, Brex, Ramp, Wise, or a similarly complex financial platform.
• Large-scale B2C: Experience at a high-volume consumer or marketplace platform such as Uber, Airbnb,
DoorDash, Shopify, or similar, particularly working on payments, payouts, billing, or transaction infrastructure.
• Financial systems: Experience building wallets, ledgers, payout systems, payment orchestration, billing
infrastructure, reconciliation engines, or financial data platforms.
• Revenue systems: Experience building billing, invoicing, usage-based revenue, revenue recognition, or order-to-cash systems that connect operational data with accounting systems.
• Global payments: Familiarity with cross-border payments, FX, multi-currency settlement, local payment rails, and payment infrastructure across multiple entities and jurisdictions.
• Finance workflows: Familiarity with accounting concepts and systems, including double-entry accounting, revenue recognition, accrued/unbilled revenue, deferred revenue, AP/AR, clearing accounts, invoicing, settlement, and financial reconciliation
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nMecka operates globally, moving money across currencies, entities, payment providers, and banking rails. As we scale, we are building the infrastructure to automate how payments, payouts, revenue, and financial data move through the company.\n\nIn this role, you will build and own Mecka's payments and revenue infrastructure, including global payouts, payment orchestration, provider integrations, reconciliation, invoicing, revenue recognition, and internal finance tooling. You will partner closely with finance and operations to replace manual workflows with reliable, scalable, and auditable systems.\n\n\n\n\nWHAT YOU WILL DO\n\n• Payments infrastructure: Design, build, and operate backend systems that schedule, validate, route, send, and track global payments and payouts across multiple providers, currencies, and banking rails.\n\n• Payment integrations: Build and maintain integrations with payment platforms, banks, payroll providers, and financial systems, handling APIs, webhooks, rate limits, retries, settlement, and failure modes.\n\n• Reconciliation: Automate reconciliation across payouts, invoices, operational records, bank transactions, and accounting systems, ensuring every movement of money is traceable and discrepancies surface quickly.\n\n• Revenue infrastructure: Build systems supporting invoicing, billing, collections, payment tracking, and revenue reconciliation, creating reliable connections between operational and financial data.\n\n• Revenue recognition: Partner with finance to translate contract terms, delivery milestones, usage data, and billing events into automated revenue recognition workflows, including unbilled revenue, deferred revenue, accruals, and accounting-system entries.\n\n• Reliability: Design money movement and financial workflows around idempotency, transaction integrity, observability, audit trails, permissions, and safe recovery from partial or failed transactions.\n\n• Automation: Partner with finance and operations to identify manual, spreadsheet-heavy workflows and turn them into scalable internal tools and automated processes.\n\n\n\n\nWHAT YOU BRING:\n\n• Experience: 3-5 years of backend development experience with a focus on payment systems, distributed systems, or cloud infrastructure.\n\n• Computer science: Strong computer science fundamentals with a degree in Computer Science, Software Engineering, Computer Engineering, or a similarly rigorous technical discipline strongly preferred.\n\n• Backend engineering: Strong experience building production backend and distributed systems where correctness, reliability, and data integrity are critical.\n\n• High-concurrency systems: Strong programming experience building and managing high-concurrency, complex business systems and services.\n\n• Programming languages: Proficiency in at least one backend language, including C++, Java, Go, Python, or Shell.\n\n• Payments: Experience with payments, billing, fintech, marketplaces, banking infrastructure, or other high-volume transactional systems.\n\n• Systems design: Strong understanding of APIs, databases, concurrency, idempotency, retries, transaction boundaries, event-driven systems, and reconciliation.\n\n• Ownership: Experience owning critical systems in production, including monitoring, incident response, debugging, and root-cause remediation.\n\n\n\n\nEVEN BETTER IF YOU HAVE:\n\n• Industry: Experience at a leading fintech or payments company such as Stripe, Coinbase, Block, Adyen, Plaid, Brex, Ramp, Wise, or a similarly complex financial platform.\n\n• Large-scale B2C: Experience at a high-volume consumer or marketplace platform such as Uber, Airbnb,\n\nDoorDash, Shopify, or similar, particularly working on payments, payouts, billing, or transaction infrastructure.\n\n• Financial systems: Experience building wallets, ledgers, payout systems, payment orchestration, billing\n\ninfrastructure, reconciliation engines, or financial data platforms.\n\n• Revenue systems: Experience building billing, invoicing, usage-based revenue, revenue recognition, or order-to-cash systems that connect operational data with accounting systems.\n\n• Global payments: Familiarity with cross-border payments, FX, multi-currency settlement, local payment rails, and payment infrastructure across multiple entities and jurisdictions.\n\n• Finance workflows: Familiarity with accounting concepts and systems, including double-entry accounting, revenue recognition, accrued/unbilled revenue, deferred revenue, AP/AR, clearing accounts, invoicing, settlement, and financial reconciliation\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$150K – CA$180K • Offers Equity","scrapeableCompensationSalarySummary":"CA$150K - CA$180K","compensationTiers":[{"id":"89b903b9-4cd0-484a-a8d9-86c3d95d87fa","tierSummary":"CA$150K – CA$180K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b655b9dd-99cc-4abc-9037-d55a087df013","summary":"CA$150K – CA$180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":180000},{"id":"9a6e9955-9615-480e-9fb0-5d94f57e0429","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":180000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"fb3831a5-13cf-4267-b5f3-3e037eac5ed9","title":"Senior Cloud Infrastructure Engineer","department":"Software & Data","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-28T22:38:50.900+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/fb3831a5-13cf-4267-b5f3-3e037eac5ed9","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/fb3831a5-13cf-4267-b5f3-3e037eac5ed9/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Every video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking and storage behind global data ingestion and customer delivery. You'll join the Platform Engineering & Infrastructure team as a senior individual contributor, take the lead on key projects, and work closely with the ML, computer vision, and data teams who depend on this infrastructure.
Design, build, and operate core parts of Mecka's AWS environment (networking, storage, and IAM) alongside the rest of the infrastructure team
Build and maintain our network: VPCs, subnets, routing, Transit Gateway, VPN/Direct Connect, DNS, and load balancing, so capture sites, internal teams, and customers can reliably move data in and out
Implement and tune the storage layer for petabyte-scale video and sensor data on S3 and related services, including bucket design, lifecycle and tiering, replication, and access patterns built for throughput and retrieval cost
Improve the speed and predictability of data transfer, from ingestion out of capture sites to large dataset deliveries to customers
Manage infrastructure as code (Terraform or equivalent) through CI/CD, keeping changes reviewable, repeatable, and easy for other engineers to use
Contribute to reliability for the infrastructure layer through monitoring, alerting, on-call, incident response, and postmortems that lead to real fixes
Find and deliver cost savings in storage and data transfer, contribute to design reviews, and mentor other engineers on the team
Must-have:
6+ years in infrastructure, platform, or cloud engineering, including building and operating production AWS environments at meaningful scale
Deep AWS networking expertise: VPC design, routing, Transit Gateway or peering, VPN/Direct Connect, DNS (Route 53), load balancing, and troubleshooting connectivity across environments
Hands-on experience designing and operating large-scale storage on AWS (S3 at scale, lifecycle policies, storage classes, replication, performance tuning)
Strong infrastructure-as-code practice (Terraform preferred) and CI/CD ownership
Solid IAM and security fundamentals: least-privilege access, encryption, network segmentation, and audit readiness
Proficiency in at least one language for automation and tooling (Python, Go, or similar)
Nice-to-have:
Experience moving large volumes of data: high-throughput transfer, multi-region replication, or bulk ingest/export (e.g., DataSync, Snowball, S3 Transfer Acceleration)
Experience with hybrid or edge networking, connecting physical sites or hardware to the cloud
Kubernetes/EKS or container platform experience
Familiarity with GPU compute or data processing workloads on AWS
Experience with compliance requirements for customer data (data residency, PII handling, SOC 2)
AWS certifications (Advanced Networking, Solutions Architect Professional) as a supporting signal, not a substitute for production experience
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nEvery video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking and storage behind global data ingestion and customer delivery. You'll join the Platform Engineering & Infrastructure team as a senior individual contributor, take the lead on key projects, and work closely with the ML, computer vision, and data teams who depend on this infrastructure.\n\n \n \n\n\nWHAT YOU'LL DO\n\n - Design, build, and operate core parts of Mecka's AWS environment (networking, storage, and IAM) alongside the rest of the infrastructure team\n\n - Build and maintain our network: VPCs, subnets, routing, Transit Gateway, VPN/Direct Connect, DNS, and load balancing, so capture sites, internal teams, and customers can reliably move data in and out\n\n - Implement and tune the storage layer for petabyte-scale video and sensor data on S3 and related services, including bucket design, lifecycle and tiering, replication, and access patterns built for throughput and retrieval cost\n\n - Improve the speed and predictability of data transfer, from ingestion out of capture sites to large dataset deliveries to customers\n\n - Manage infrastructure as code (Terraform or equivalent) through CI/CD, keeping changes reviewable, repeatable, and easy for other engineers to use\n\n - Contribute to reliability for the infrastructure layer through monitoring, alerting, on-call, incident response, and postmortems that lead to real fixes\n\n - Find and deliver cost savings in storage and data transfer, contribute to design reviews, and mentor other engineers on the team\n\n \n \n\n\nWHAT YOU BRING\n\nMust-have:\n\n - 6+ years in infrastructure, platform, or cloud engineering, including building and operating production AWS environments at meaningful scale\n\n - Deep AWS networking expertise: VPC design, routing, Transit Gateway or peering, VPN/Direct Connect, DNS (Route 53), load balancing, and troubleshooting connectivity across environments\n\n - Hands-on experience designing and operating large-scale storage on AWS (S3 at scale, lifecycle policies, storage classes, replication, performance tuning)\n\n - Strong infrastructure-as-code practice (Terraform preferred) and CI/CD ownership\n\n - Solid IAM and security fundamentals: least-privilege access, encryption, network segmentation, and audit readiness\n\n - Proficiency in at least one language for automation and tooling (Python, Go, or similar)\n\nNice-to-have:\n\n - Experience moving large volumes of data: high-throughput transfer, multi-region replication, or bulk ingest/export (e.g., DataSync, Snowball, S3 Transfer Acceleration)\n\n - Experience with hybrid or edge networking, connecting physical sites or hardware to the cloud\n\n - Kubernetes/EKS or container platform experience\n\n - Familiarity with GPU compute or data processing workloads on AWS\n\n - Experience with compliance requirements for customer data (data residency, PII handling, SOC 2)\n\n - AWS certifications (Advanced Networking, Solutions Architect Professional) as a supporting signal, not a substitute for production experience\n\n\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$165K – CA$200K • Offers Equity","scrapeableCompensationSalarySummary":"CA$165K - CA$200K","compensationTiers":[{"id":"a1515043-33e8-4f4c-9d77-ca215937937c","tierSummary":"CA$165K – CA$200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5f635c67-5efb-4383-a273-8fd2bb566e8b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"685758a1-376b-482a-975f-c8b4e7064f35","summary":"CA$165K – CA$200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":200000}]}},{"id":"ad8bf7b6-485a-410e-8d30-f3ebde20643a","title":"Research Scientist – Hand Tracking & Manipulation","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-29T12:44:12.349+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/ad8bf7b6-485a-410e-8d30-f3ebde20643a","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/ad8bf7b6-485a-410e-8d30-f3ebde20643a/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
While our existing perception division handles state estimation and spatial mapping, this role is dedicated to one of the most critical bottlenecks in embodied AI: dexterous manipulation and human-object interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D hand tracking and articulated pose estimation.
Your core mandate is twofold: building our in-house equivalents to cutting-edge 3D hand and mesh recovery architectures, and developing highly robust interaction models tailored for the heavily occluded, chaotic domain of egocentric manipulation. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.
To achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth manipulation data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete hand-object perception loop for our data engine.
Architecting Proprietary Articulation Models
Zero-to-One Model Development: Design, implement, and train state-of-the-art networks for 3D hand pose estimation, dense mesh recovery, and kinematic tracking.
Large-Scale Distributed Training: Scale multi-view and temporal ML architectures across multi-GPU clusters to handle massive, multi-modal datasets of human hands in action.
Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions that enforce biomechanical constraints, temporal smoothness, and physical plausibility.
Egocentric Hand-Object Interaction (HOI)
Egocentric Manipulation Modeling: Build and train custom architectures capable of handling the extreme motion blur, severe self-occlusion, and rapid rotations inherent in first-person object manipulation.
Dynamic Scene Understanding: Use your models to track objects through complex grasps, segment tools from hands, and map contact points and forces to provide rich regularization for downstream action-conditioned robotics models.
Emergent Perception R&D
Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tactile-visual fusion, fine-grained action segmentation, and novel hardware sensor integrations.
Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities for our robotics customers.
Dense Contact & Physics-Aware Tracking
Interaction Integration: Connect the outputs of your foundational tracking models into highly optimized pipelines that reason about physical contact surfaces and object affordances, directly bridging the gap between human video data and robotic control policies.
Required Background
Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Hand Pose Estimation.
Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.
Strong theoretical and practical understanding of parametric hand models, inverse kinematics, and dense mesh estimation.
Mastery of PyTorch and deep learning scaling frameworks.
Experience handling and curating massive, multi-terabyte image and video datasets for training.
Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.
Strong Signals:
First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D hand tracking, hand-object interaction (HOI), dexterous manipulation, or human mesh recovery.
Specific experience working with massive egocentric manipulation datasets (e.g., Ego4D, Ego-Exo4D, DexYCB, Epic-Kitchens) and solving the unique optimization challenges they present.
Experience writing custom CUDA kernels to accelerate 3D operations, differentiable rendering of meshes, or collision/contact computation.
The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human manipulation that most academic researchers only dream of.
Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents learn to physically grasp and manipulate the world.
Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWhile our existing perception division handles state estimation and spatial mapping, this role is dedicated to one of the most critical bottlenecks in embodied AI: dexterous manipulation and human-object interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D hand tracking and articulated pose estimation.\n\nYour core mandate is twofold: building our in-house equivalents to cutting-edge 3D hand and mesh recovery architectures, and developing highly robust interaction models tailored for the heavily occluded, chaotic domain of egocentric manipulation. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.\n\nTo achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth manipulation data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete hand-object perception loop for our data engine.\n\n\nWHAT YOU'LL WORK ON\n\nArchitecting Proprietary Articulation Models\n\n - Zero-to-One Model Development: Design, implement, and train state-of-the-art networks for 3D hand pose estimation, dense mesh recovery, and kinematic tracking.\n\n - Large-Scale Distributed Training: Scale multi-view and temporal ML architectures across multi-GPU clusters to handle massive, multi-modal datasets of human hands in action.\n\n - Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions that enforce biomechanical constraints, temporal smoothness, and physical plausibility.\n\nEgocentric Hand-Object Interaction (HOI)\n\n - Egocentric Manipulation Modeling: Build and train custom architectures capable of handling the extreme motion blur, severe self-occlusion, and rapid rotations inherent in first-person object manipulation.\n\n - Dynamic Scene Understanding: Use your models to track objects through complex grasps, segment tools from hands, and map contact points and forces to provide rich regularization for downstream action-conditioned robotics models.\n\nEmergent Perception R&D\n\n - Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tactile-visual fusion, fine-grained action segmentation, and novel hardware sensor integrations.\n\n - Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities for our robotics customers.\n\nDense Contact & Physics-Aware Tracking\n\n - Interaction Integration: Connect the outputs of your foundational tracking models into highly optimized pipelines that reason about physical contact surfaces and object affordances, directly bridging the gap between human video data and robotic control policies.\n\n\nWHO YOU ARE\n\nRequired Background\n\n - Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Hand Pose Estimation.\n\n - Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.\n\n - Strong theoretical and practical understanding of parametric hand models, inverse kinematics, and dense mesh estimation.\n\n - Mastery of PyTorch and deep learning scaling frameworks.\n\n - Experience handling and curating massive, multi-terabyte image and video datasets for training.\n\n - Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.\n\n\n\nStrong Signals:\n\n - First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D hand tracking, hand-object interaction (HOI), dexterous manipulation, or human mesh recovery.\n\n - Specific experience working with massive egocentric manipulation datasets (e.g., Ego4D, Ego-Exo4D, DexYCB, Epic-Kitchens) and solving the unique optimization challenges they present.\n\n - Experience writing custom CUDA kernels to accelerate 3D operations, differentiable rendering of meshes, or collision/contact computation.\n\n\nWHY THIS ROLE?\n\n - The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human manipulation that most academic researchers only dream of.\n\n - Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.\n\n - High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents learn to physically grasp and manipulate the world.\n\nWarning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$170 – $210,000 • Offers Equity","scrapeableCompensationSalarySummary":"$170 - $210,000","compensationTiers":[{"id":"8884b357-a4ec-426a-8812-0e1494188aca","tierSummary":"$170 – $210,000 • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"91c7d7e7-df1c-4fe4-a353-66092fec549c","summary":"$170 – $210,000","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170,"maxValue":210000},{"id":"d79716b5-806b-45cc-af9f-4373b64a710b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170,"maxValue":210000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"481df81c-8dbc-4825-b57a-6d6fd0951da5","title":"Senior Product Engineer ","department":"Software & Data","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-01T11:45:46.462+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/481df81c-8dbc-4825-b57a-6d6fd0951da5","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/481df81c-8dbc-4825-b57a-6d6fd0951da5/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We are hiring a Senior Product Engineer to take products 0 → 1 → scale.
This is a true senior, high-agency role for someone who is full-stack, design-oriented, and data-driven — with strong startup/founder-type instincts. You will work directly with internal users, define what to build, ship quickly, and own quality in production.
Turn ambiguous problems into shipped product: concept → prototype → production.
Own scope, trade-offs, and delivery — not just implementation.
Build end-to-end workflows across frontend + backend.
Create product primitives that are durable, simple, and fast to iterate on.
Sweat UX details: interaction quality, edge cases, and reliability.
Partner closely with design — and bring strong product taste yourself.
Define success metrics and instrumentation.
Use data to drive prioritization, quality, and performance decisions.
7+ years of software engineering experience (or equivalent impact), with meaningful full-stack ownership.
Proven track record shipping products 0 → 1 and scaling them in production.
Strong product chops: you can reason about UX, workflows, and trade-offs.
High agency: you move without waiting for perfect specs.
Strong Signals
Early-stage startup or founder experience with end-to-end product ownership.
You can write clean systems and also care deeply about UX.
You ship, measure, and iterate relentlessly.
Build the product layer that turns complex operations and petabyte-scale data into simple, reliable workflows.
High ownership, fast iteration, and direct impact across the company.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe are hiring a Senior Product Engineer to take products 0 → 1 → scale.\n\nThis is a true senior, high-agency role for someone who is full-stack, design-oriented, and data-driven — with strong startup/founder-type instincts. You will work directly with internal users, define what to build, ship quickly, and own quality in production.\n\n\nWHAT YOU’LL WORK ON\n\n\n0 → 1 PRODUCT BUILDING\n\n - Turn ambiguous problems into shipped product: concept → prototype → production.\n\n - Own scope, trade-offs, and delivery — not just implementation.\n\n\nFULL-STACK EXECUTION\n\n - Build end-to-end workflows across frontend + backend.\n\n - Create product primitives that are durable, simple, and fast to iterate on.\n\n\nDESIGN + PRODUCT CRAFT\n\n - Sweat UX details: interaction quality, edge cases, and reliability.\n\n - Partner closely with design — and bring strong product taste yourself.\n\n\nDATA-DRIVEN ITERATION\n\n - Define success metrics and instrumentation.\n\n - Use data to drive prioritization, quality, and performance decisions.\n\n\nWHO YOU ARE\n\n\nREQUIRED BACKGROUND\n\n - 7+ years of software engineering experience (or equivalent impact), with meaningful full-stack ownership.\n\n - Proven track record shipping products 0 → 1 and scaling them in production.\n\n - Strong product chops: you can reason about UX, workflows, and trade-offs.\n\n - High agency: you move without waiting for perfect specs.\n\nStrong Signals\n\n - Early-stage startup or founder experience with end-to-end product ownership.\n\n - You can write clean systems and also care deeply about UX.\n\n - You ship, measure, and iterate relentlessly.\n\n\nWHY THIS ROLE\n\n - Build the product layer that turns complex operations and petabyte-scale data into simple, reliable workflows.\n\n - High ownership, fast iteration, and direct impact across the company.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$180K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"4446da12-4d75-4ad8-80ab-7681c9d60ef4","tierSummary":"$180K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5ced7398-fd6d-4320-b373-a9879c4003ed","summary":"$180K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"76d6be39-43b6-44c7-8dc2-63169ec70167","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"607719bc-6ff0-45dc-b539-9e0f22e889c9","title":"Research Scientist – 3D Environment Reconstruction","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-01T14:26:07.677+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/607719bc-6ff0-45dc-b539-9e0f22e889c9","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/607719bc-6ff0-45dc-b539-9e0f22e889c9/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We are hiring a Research Scientist to architect and train proprietary 3D reconstruction pipelines from scratch.
You will transform our continuous stream of high-quality, real-world multi-modal data into highly accurate, photorealistic digital environments using techniques such as 3D Gaussian Splatting and NeRFs. Beyond building the core architectures, you will integrate these reconstructed environments to improve other segments of our perception pipeline and optimize these spatial assets for seamless client delivery and interactive viewing.
Advanced Neural Reconstruction: Design, train, and scale state-of-the-art models for dense 3D geometry extraction (e.g., Gaussian Splatting, NeRFs) across multi-GPU clusters to handle massive spatial datasets.
Sim-to-Real Integration: Reconstruct high-fidelity, physically accurate digital twins of real-world environments to provide rich spatial priors that directly improve and regularize downstream robotics pipelines, world models and other sim-to-real training.
Client Delivery & Viewer Optimization: Compress, optimize, and package massive 3D scene representations for high-framerate rendering in client-facing viewers, ensuring clients can interact with our data without sacrificing visual fidelity.
Emergent Perception R&D: Rapidly prototype new architectures to isolate dynamic actors from static environments, resolve algorithmic bottlenecks, and fuse novel hardware sensor integrations.
Deep expertise in 3D Computer Vision, Neural Rendering, multi-view geometry, and spatial modeling.
Proven experience training and scaling large-scale 3D vision models from scratch using PyTorch and multi-terabyte datasets.
Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or rasterization.
Strong Signals:
First-author publications in top-tier venues (CVPR, ICCV, ECCV) focusing on 3D deep learning, neural rendering, or spatial transformers.
Specific projects that include deploying 3D assets to WebGL, custom rendering engines, or optimizing splats for interactive viewing that are available publicly.
The Data Advantage: Access proprietary spatial and temporal ground-truth data at a scale that most academic researchers only dream of.
High Impact: Your spatial models and environmental reconstructions will directly define how the next generation of embodied AI agents bridge the gap between simulation and the physical world.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe are hiring a Research Scientist to architect and train proprietary 3D reconstruction pipelines from scratch.\n\nYou will transform our continuous stream of high-quality, real-world multi-modal data into highly accurate, photorealistic digital environments using techniques such as 3D Gaussian Splatting and NeRFs. Beyond building the core architectures, you will integrate these reconstructed environments to improve other segments of our perception pipeline and optimize these spatial assets for seamless client delivery and interactive viewing.\n\n\nWHAT YOU'LL WORK ON\n\n - Advanced Neural Reconstruction: Design, train, and scale state-of-the-art models for dense 3D geometry extraction (e.g., Gaussian Splatting, NeRFs) across multi-GPU clusters to handle massive spatial datasets.\n\n - Sim-to-Real Integration: Reconstruct high-fidelity, physically accurate digital twins of real-world environments to provide rich spatial priors that directly improve and regularize downstream robotics pipelines, world models and other sim-to-real training.\n\n - Client Delivery & Viewer Optimization: Compress, optimize, and package massive 3D scene representations for high-framerate rendering in client-facing viewers, ensuring clients can interact with our data without sacrificing visual fidelity.\n\n - Emergent Perception R&D: Rapidly prototype new architectures to isolate dynamic actors from static environments, resolve algorithmic bottlenecks, and fuse novel hardware sensor integrations.\n\n\nWHAT YOU BRING\n\n - Deep expertise in 3D Computer Vision, Neural Rendering, multi-view geometry, and spatial modeling.\n\n - Proven experience training and scaling large-scale 3D vision models from scratch using PyTorch and multi-terabyte datasets.\n\n - Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or rasterization.\n\nStrong Signals:\n\n - First-author publications in top-tier venues (CVPR, ICCV, ECCV) focusing on 3D deep learning, neural rendering, or spatial transformers.\n\n - Specific projects that include deploying 3D assets to WebGL, custom rendering engines, or optimizing splats for interactive viewing that are available publicly.\n\n\nWHY THIS ROLE?\n\n - The Data Advantage: Access proprietary spatial and temporal ground-truth data at a scale that most academic researchers only dream of.\n\n - High Impact: Your spatial models and environmental reconstructions will directly define how the next generation of embodied AI agents bridge the gap between simulation and the physical world.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$200K – CA$230K • Offers Equity","scrapeableCompensationSalarySummary":"CA$200K - CA$230K","compensationTiers":[{"id":"532186e2-79c4-4664-9110-6350f6c6f2de","tierSummary":"CA$200K – CA$230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a625be17-a4d4-4150-9859-46a6a46ba218","summary":"CA$200K – CA$230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"id":"78db9f78-4e21-4283-be08-af3ade8c10f4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"49a70698-f8f1-4f74-9a09-3a3536d377b3","title":"Research Scientist – Neural 3D Objects","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-01T19:33:48.454+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/49a70698-f8f1-4f74-9a09-3a3536d377b3","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/49a70698-f8f1-4f74-9a09-3a3536d377b3/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're looking for a neural objects researcher to own the architecture for generating 3D objects from video. Given egocentric footage of someone manipulating an object, you build the models that recover its geometry — and, ultimately, a simulatable asset with the physical properties to drop into a physics simulator.
You'll own the hardest, most open part of the objects effort: reconstructing objects that are small in frame, partly occluded by the hand, and sometimes deformable. You'll push the frontier, then hand results to the integrations researcher who takes them into the production pipeline.
This is a research role for someone who wants an open, unsolved problem on real, large-scale data — not a fully-specified spec.
Neural 3D reconstruction. Models that recover object geometry from monocular / egocentric video — sequential and multi-view approaches robust to occlusion and low resolution.
Generative refinement. Use generative 3D to complete and clean up partial reconstructions while rejecting hallucinated geometry.
Toward simulatable objects. Move beyond geometry toward assets that carry physical properties and rigging, so a reconstructed object can be simulated, not just rendered.
Contact-aware reconstruction. Use hand contact as a signal to constrain object shape and pose where the hand touches the object.
Deformables. Take on the genuinely hard frontier — objects that change shape as they're handled.
Prototype & hand off. Build research prototypes and hand them to the integrations researcher for productization; publish where it makes sense.
Strong 3D / neural-reconstruction research. Neural implicit or explicit 3D, 4D reconstruction, or generative 3D — you've worked at this frontier.
Deep-learning depth. You design and train models, and can read and reproduce frontier papers.
3D geometry foundation. Structure-from-motion / multi-view geometry, meshes, and differentiable rendering.
Research taste. You can find the tractable decomposition of a hard, open problem and make steady progress on it.
Engineering to match. You prototype fast in clean Python / PyTorch and can get a research idea working on real data.
Generative 3D (diffusion / feed-forward 3D-generation families).
Differentiable rendering, NeRF, or Gaussian splatting.
4D / dynamic-scene reconstruction from video.
Physics simulation and rigging — turning geometry into a simulatable asset.
Hand-object interaction; publications at top vision or graphics venues.
Python / PyTorch (primary) for model design and training.
3D deep learning — neural implicit / explicit representations, differentiable rendering.
Generative-3D toolkits; mesh processing (Open3D, trimesh).
Physics simulators for the path from geometry to simulatable object.
The exact stack matters less than depth in 3D deep learning and the judgment to make progress on an open problem.
How this role fits — you own neural 3D object generation: reconstructing manipulated objects from monocular egocentric video, including the hard cases — heavy occlusion, low resolution, and deformable objects — and pushing toward objects that carry the physical properties needed to be simulated. This is an architecture-level research role that sets the direction the objects team builds on.
Manipulated objects reconstruct from egocentric video at usable quality — including small, occluded, and deformable cases.
A credible path exists from interaction video to a simulatable 3D object.
Your research transfers into the pipeline through the integrations seat, not just into papers.
The objects pod builds on the architecture and direction you set.
Applied-only engineers who don't want open-ended research.
Researchers who need a fully-specified problem handed to them.
Anyone without a 3D and deep-learning foundation.
Define how a company turns everyday manipulated objects into simulatable 3D assets.
Own an open, high-impact research problem on real, large-scale egocentric data.
A clear path from research to product through a dedicated integrations seat.
Direct impact on the data that trains real robots.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're looking for a neural objects researcher to own the architecture for generating 3D objects from video. Given egocentric footage of someone manipulating an object, you build the models that recover its geometry — and, ultimately, a simulatable asset with the physical properties to drop into a physics simulator.\n\nYou'll own the hardest, most open part of the objects effort: reconstructing objects that are small in frame, partly occluded by the hand, and sometimes deformable. You'll push the frontier, then hand results to the integrations researcher who takes them into the production pipeline.\n\nThis is a research role for someone who wants an open, unsolved problem on real, large-scale data — not a fully-specified spec.\n\n\nWHAT YOU'LL DO\n\n - Neural 3D reconstruction. Models that recover object geometry from monocular / egocentric video — sequential and multi-view approaches robust to occlusion and low resolution.\n\n - Generative refinement. Use generative 3D to complete and clean up partial reconstructions while rejecting hallucinated geometry.\n\n - Toward simulatable objects. Move beyond geometry toward assets that carry physical properties and rigging, so a reconstructed object can be simulated, not just rendered.\n\n - Contact-aware reconstruction. Use hand contact as a signal to constrain object shape and pose where the hand touches the object.\n\n - Deformables. Take on the genuinely hard frontier — objects that change shape as they're handled.\n\n - Prototype & hand off. Build research prototypes and hand them to the integrations researcher for productization; publish where it makes sense.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong 3D / neural-reconstruction research. Neural implicit or explicit 3D, 4D reconstruction, or generative 3D — you've worked at this frontier.\n\n - Deep-learning depth. You design and train models, and can read and reproduce frontier papers.\n\n - 3D geometry foundation. Structure-from-motion / multi-view geometry, meshes, and differentiable rendering.\n\n - Research taste. You can find the tractable decomposition of a hard, open problem and make steady progress on it.\n\n - Engineering to match. You prototype fast in clean Python / PyTorch and can get a research idea working on real data.\n\n\nSTRONG PLUS\n\n - Generative 3D (diffusion / feed-forward 3D-generation families).\n\n - Differentiable rendering, NeRF, or Gaussian splatting.\n\n - 4D / dynamic-scene reconstruction from video.\n\n - Physics simulation and rigging — turning geometry into a simulatable asset.\n\n - Hand-object interaction; publications at top vision or graphics venues.\n\n\nTECH STACK\n\n - Python / PyTorch (primary) for model design and training.\n\n - 3D deep learning — neural implicit / explicit representations, differentiable rendering.\n\n - Generative-3D toolkits; mesh processing (Open3D, trimesh).\n\n - Physics simulators for the path from geometry to simulatable object.\n\nThe exact stack matters less than depth in 3D deep learning and the judgment to make progress on an open problem.\n\nHow this role fits — you own neural 3D object generation: reconstructing manipulated objects from monocular egocentric video, including the hard cases — heavy occlusion, low resolution, and deformable objects — and pushing toward objects that carry the physical properties needed to be simulated. This is an architecture-level research role that sets the direction the objects team builds on.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Manipulated objects reconstruct from egocentric video at usable quality — including small, occluded, and deformable cases.\n\n - A credible path exists from interaction video to a simulatable 3D object.\n\n - Your research transfers into the pipeline through the integrations seat, not just into papers.\n\n - The objects pod builds on the architecture and direction you set.\n\n\nWHO THIS ROLE IS NOT FOR\n\n - Applied-only engineers who don't want open-ended research.\n\n - Researchers who need a fully-specified problem handed to them.\n\n - Anyone without a 3D and deep-learning foundation.\n\n\nWHY THIS ROLE AT MECKA\n\n - Define how a company turns everyday manipulated objects into simulatable 3D assets.\n\n - Own an open, high-impact research problem on real, large-scale egocentric data.\n\n - A clear path from research to product through a dedicated integrations seat.\n\n - Direct impact on the data that trains real robots.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$200K – CA$230K • Offers Equity","scrapeableCompensationSalarySummary":"CA$200K - CA$230K","compensationTiers":[{"id":"a64df193-6289-433b-acd2-bddc4ab8f19b","tierSummary":"CA$200K – CA$230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"150ba94b-226e-4b44-9919-c47e453c2b1c","summary":"CA$200K – CA$230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"id":"47763951-46f2-4148-83d4-7b1865b6aa83","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"afbd6329-dee5-4f66-a776-690563f08a34","title":"Research Scientist – Full Body Motion","department":"Machine Learning & Research","team":"Machine Learning & Research","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-01T20:45:27.410+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/afbd6329-dee5-4f66-a776-690563f08a34","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/afbd6329-dee5-4f66-a776-690563f08a34/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Our recording rigs are egocentric: a head-mounted stereo or mono camera, sometimes with body-worn sensors, plus a smaller multi-camera ego-exo volume that gives us triangulated ground truth. From the wearer's point of view the hands and forearms are almost always visible, the torso partly, the legs and feet rarely. Today our pipeline fits Meta's Momentum Human Rig (MHR) to the hands, the upper-body keypoints and the metric camera trajectory, and places the result in the world. The lower body is inferred, the feet are an ankle-plus-offset pushed onto an assumed flat floor, and contact is a check that removes frames rather than a property of the estimate.
You will build the model that replaces that. The evidence you can condition on: the metric camera trajectory, hand and wrist poses, upper-body keypoints, 2D detections of whatever leg is in frame, and, in the ego-exo volume, full-body ground truth. The output we need: a full-body pose per frame in one metric world frame, on MHR / SOMA-X, that stands on the floor it is standing on, does not slide or sink, kneels and lies down when the wearer does — floor yoga is a real case — and reports per-frame contact with calibrated confidence. Motion capture, IMU suits and the ego-exo volume are yours to commission when the benchmark needs them.
We think the answer lives where physics-based character control meets human motion generation: a learned full-body motion prior conditioned on partial evidence, and simulation-based tracking or a contact-aware solver that makes the result physically consistent. If you have a better answer, that is the job.
Full-body motion prior. Train generative motion models — diffusion, autoregressive or masked — on mocap-scale data and our own rig data, conditioned on the partial evidence an egocentric rig produces, so they produce the lower body and feet when nothing sees them.
Physical consistency. Physics-based tracking or imitation of the kinematic estimate in simulation, or contact-aware optimisation on the body model, so the output has ground contact, no penetration, no foot skate and plausible balance — including floor work, where the standing assumption fails.
Contact as an output. Per-frame foot and body contact and the ground plane, with calibrated confidence, delivered alongside the pose.
The body model. MHR / SOMA-X native output; pose priors and constraints the production solver can consume.
Measurement, with the audit team. Define the lower-body, feet and contact metrics and the cohort they run on (ego-exo, mocap, IMU suit); commission captures against named gaps.
Hand-off. Prototype → runnable model on the cohort in a repo we own → the pod's production owners integrate. Publish what you learn; we are generous on publication.
A research record in physics-based character animation, human motion generation, or 3D human pose and shape — a PhD or an equivalent body of work, with publications at SIGGRAPH / SIGGRAPH Asia, CVPR / ICCV / ECCV, NeurIPS / ICLR or CoRL.
Generative motion models. You have trained diffusion, autoregressive or masked motion models on mocap-scale data and conditioned them on constraints — keyframes, end effectors, paths, text.
Physics-based control. Motion imitation and tracking for simulated humanoids in the DeepMimic / AMP / MaskedMimic lineage; comfortable in Isaac Gym / Isaac Lab or MuJoCo and with reinforcement learning at scale.
Body models and kinematics. SMPL-X, MHR or SOMA-X; retargeting; contact and collision modelling.
Engineering to match. Clean PyTorch research code, and the will to run on noisy, real, large-scale data rather than clean benchmarks.
Research taste. You can turn \"full body from a head camera\" into a sequence of measurable steps and make steady progress on it.
Egocentric or partial-observation full-body estimation — head- and hand-tracking to body.
Human–scene interaction and contact: scene-aware motion synthesis, volumetric body models.
Motion cleanup or denoising of estimated or corrupted motion.
Reusable motion priors for control, generative controllers, or large-scale motion tokenisation.
Having shipped a research model into a product or a game engine; familiarity with Momentum / MHR tooling.
Python / PyTorch for model design and training; reinforcement learning at scale.
Isaac Lab / MuJoCo; ProtoMotions- or MimicKit-class frameworks for physics-based character control.
SMPL-X / MHR / SOMA-X body models; AMASS-class motion capture.
Our data: hundreds of hours of ego-exo multi-view ground truth, thousands of hours of egocentric recordings, mocap and IMU-suit sessions on request.
The exact stack matters less than depth in motion generation or physics-based control and the judgment to make progress on an open problem.
Lower-body and feet pass rate on the body cohort, and the physical-violation rate — penetration, foot skate, ground-plane — are measured from your first quarter and fall every quarter after.
Floor work — kneeling, sitting, lying, yoga — no longer breaks the estimate.
The production body solver runs your prior and your contact terms; delivered feet stand on the floor they are on.
A result on our public benchmark, and a publication, within the first year.
Pose-estimation researchers with no generative-model or physics depth — the upper body is already estimated; the problem is what the camera cannot see.
Graphics researchers who want clean motion capture and no noisy real data.
Anyone who needs the problem fully specified before starting.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nOur recording rigs are egocentric: a head-mounted stereo or mono camera, sometimes with body-worn sensors, plus a smaller multi-camera ego-exo volume that gives us triangulated ground truth. From the wearer's point of view the hands and forearms are almost always visible, the torso partly, the legs and feet rarely. Today our pipeline fits Meta's Momentum Human Rig (MHR) to the hands, the upper-body keypoints and the metric camera trajectory, and places the result in the world. The lower body is inferred, the feet are an ankle-plus-offset pushed onto an assumed flat floor, and contact is a check that removes frames rather than a property of the estimate.\n\nYou will build the model that replaces that. The evidence you can condition on: the metric camera trajectory, hand and wrist poses, upper-body keypoints, 2D detections of whatever leg is in frame, and, in the ego-exo volume, full-body ground truth. The output we need: a full-body pose per frame in one metric world frame, on MHR / SOMA-X, that stands on the floor it is standing on, does not slide or sink, kneels and lies down when the wearer does — floor yoga is a real case — and reports per-frame contact with calibrated confidence. Motion capture, IMU suits and the ego-exo volume are yours to commission when the benchmark needs them.\n\nWe think the answer lives where physics-based character control meets human motion generation: a learned full-body motion prior conditioned on partial evidence, and simulation-based tracking or a contact-aware solver that makes the result physically consistent. If you have a better answer, that is the job.\n\n\nWHAT YOU'LL DO\n\n - Full-body motion prior. Train generative motion models — diffusion, autoregressive or masked — on mocap-scale data and our own rig data, conditioned on the partial evidence an egocentric rig produces, so they produce the lower body and feet when nothing sees them.\n\n - Physical consistency. Physics-based tracking or imitation of the kinematic estimate in simulation, or contact-aware optimisation on the body model, so the output has ground contact, no penetration, no foot skate and plausible balance — including floor work, where the standing assumption fails.\n\n - Contact as an output. Per-frame foot and body contact and the ground plane, with calibrated confidence, delivered alongside the pose.\n\n - The body model. MHR / SOMA-X native output; pose priors and constraints the production solver can consume.\n\n - Measurement, with the audit team. Define the lower-body, feet and contact metrics and the cohort they run on (ego-exo, mocap, IMU suit); commission captures against named gaps.\n\n - Hand-off. Prototype → runnable model on the cohort in a repo we own → the pod's production owners integrate. Publish what you learn; we are generous on publication.\n\n\nWHAT WE'RE LOOKING FOR\n\n - A research record in physics-based character animation, human motion generation, or 3D human pose and shape — a PhD or an equivalent body of work, with publications at SIGGRAPH / SIGGRAPH Asia, CVPR / ICCV / ECCV, NeurIPS / ICLR or CoRL.\n\n - Generative motion models. You have trained diffusion, autoregressive or masked motion models on mocap-scale data and conditioned them on constraints — keyframes, end effectors, paths, text.\n\n - Physics-based control. Motion imitation and tracking for simulated humanoids in the DeepMimic / AMP / MaskedMimic lineage; comfortable in Isaac Gym / Isaac Lab or MuJoCo and with reinforcement learning at scale.\n\n - Body models and kinematics. SMPL-X, MHR or SOMA-X; retargeting; contact and collision modelling.\n\n - Engineering to match. Clean PyTorch research code, and the will to run on noisy, real, large-scale data rather than clean benchmarks.\n\n - Research taste. You can turn \"full body from a head camera\" into a sequence of measurable steps and make steady progress on it.\n\n\nSTRONG PLUS\n\n - Egocentric or partial-observation full-body estimation — head- and hand-tracking to body.\n\n - Human–scene interaction and contact: scene-aware motion synthesis, volumetric body models.\n\n - Motion cleanup or denoising of estimated or corrupted motion.\n\n - Reusable motion priors for control, generative controllers, or large-scale motion tokenisation.\n\n - Having shipped a research model into a product or a game engine; familiarity with Momentum / MHR tooling.\n\n\nTECH STACK\n\n - Python / PyTorch for model design and training; reinforcement learning at scale.\n\n - Isaac Lab / MuJoCo; ProtoMotions- or MimicKit-class frameworks for physics-based character control.\n\n - SMPL-X / MHR / SOMA-X body models; AMASS-class motion capture.\n\n - Our data: hundreds of hours of ego-exo multi-view ground truth, thousands of hours of egocentric recordings, mocap and IMU-suit sessions on request.\n\nThe exact stack matters less than depth in motion generation or physics-based control and the judgment to make progress on an open problem.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Lower-body and feet pass rate on the body cohort, and the physical-violation rate — penetration, foot skate, ground-plane — are measured from your first quarter and fall every quarter after.\n\n - Floor work — kneeling, sitting, lying, yoga — no longer breaks the estimate.\n\n - The production body solver runs your prior and your contact terms; delivered feet stand on the floor they are on.\n\n - A result on our public benchmark, and a publication, within the first year.\n\n\n\n\n\nWHO THIS ROLE IS NOT FOR\n\n - Pose-estimation researchers with no generative-model or physics depth — the upper body is already estimated; the problem is what the camera cannot see.\n\n - Graphics researchers who want clean motion capture and no noisy real data.\n\n - Anyone who needs the problem fully specified before starting.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$200K – CA$230K • Offers Equity","scrapeableCompensationSalarySummary":"CA$200K - CA$230K","compensationTiers":[{"id":"65a849cf-b7c1-412c-97b6-e8fe8cc8aee4","tierSummary":"CA$200K – CA$230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"866de4a9-e04b-4d43-860f-23fb807175ff","summary":"CA$200K – CA$230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"id":"c46896df-a8f7-41f8-9219-21bce6fe2ec1","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":200000,"maxValue":230000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"737be260-7ade-48b3-a117-f6f03f9fc2ee","title":"Senior Full Stack Software Developer","department":"Software & Data","team":"Software & Data","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-29T14:30:02.097+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/737be260-7ade-48b3-a117-f6f03f9fc2ee","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/737be260-7ade-48b3-a117-f6f03f9fc2ee/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations.
This role is for an action-oriented builder who has delivered production web applications, writes clean and maintainable code, and wants to take ownership of features end-to-end—across the frontend, backend, and operational integrations. You should be someone who actively leverages modern AI tools to move faster, debug efficiently, and expand your impact.
You'll work directly with operators, data teams, and senior engineers to turn operational requirements into reliable, intuitive software.
Build & Maintain: Develop web applications for data labeling, data capture, and country/operations management using React (JavaScript / TypeScript) and modern frameworks (e.g., Next.js).
User-Centric UX: Design clean, fast, and intuitive interfaces for non-technical users and international teams operating under real-world conditions.
Backend Systems & APIs
Services & APIs: Build and iterate on backend services using Node.js (Express/Fastify) and/or Python (FastAPI/Django).
Operational Logic: Work with core business logic handling permissions, retries, data integrity, and background workflows for data-heavy operations.
Practical AI Integrations
Feature Development: Integrate AI capabilities into internal tools where they add real value (e.g., automated data validation, normalization, workflow triggers, search, and internal tooling).
Tooling & Workflows: Work with prompt-based systems and structured LLM integrations alongside our research and ops teams.
Feature Ownership & Execution
End-to-End Delivery: Take features from design and implementation through testing and deployment.
Production Support: Monitor, debug, and improve performance and reliability in production.
Pragmatic Mindset: Balance speed, code cleanliness, and correctness with guidance from senior engineering leadership.
5-7 years of professional experience building and maintaining full-stack web applications in production environments.
Solid Frontend Skills: Proficiency in JavaScript / TypeScript, React, and modern web frameworks.
Solid Backend Skills: Hands-on experience developing REST/GraphQL APIs with Node.js and/or Python.
Database & Data Basics: Practical experience working with relational databases (e.g., PostgreSQL) and ORMs.
AI Tooling as a Force Multiplier: Active daily use of AI development tools (Cursor, Copilot, Claude, etc.) to prototype faster, debug code, and increase productivity.
End-to-End Execution: Ability to work across the stack to ship features and troubleshoot issues independently.
Experience building internal tools, dashboards, or workflow-heavy applications.
Comfort working alongside non-technical stakeholders (operations, product, leadership) to clarify feature requirements.
Good instincts for keeping solutions simple and maintainable rather than over-engineering.
Strong team player who communicates clearly, accepts feedback, and enjoys continuous learning.
Exposure to cloud environments (*AWS, GCP, or Azure**) and standard deployment pipelines (CI/CD, Docker).
Basic experience or strong curiosity regarding AI/LLM API integrations (e.g., prompt engineering, document extraction, vector search).
Experience with data pipelines, ETL workflows, or handling data-intensive operations.
Prior experience in consulting, client-facing roles, or fast-paced startup environments.
Familiarity with mobile development (React Native) or design systems.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations.\n\nThis role is for an action-oriented builder who has delivered production web applications, writes clean and maintainable code, and wants to take ownership of features end-to-end—across the frontend, backend, and operational integrations. You should be someone who actively leverages modern AI tools to move faster, debug efficiently, and expand your impact.\n\nYou'll work directly with operators, data teams, and senior engineers to turn operational requirements into reliable, intuitive software.\n\n\nWHAT YOU’LL WORK ON\n\n - Build & Maintain: Develop web applications for data labeling, data capture, and country/operations management using React (JavaScript / TypeScript) and modern frameworks (e.g., Next.js).\n\n - User-Centric UX: Design clean, fast, and intuitive interfaces for non-technical users and international teams operating under real-world conditions.\n\n - Backend Systems & APIs\n\n - Services & APIs: Build and iterate on backend services using Node.js (Express/Fastify) and/or Python (FastAPI/Django).\n\n - Operational Logic: Work with core business logic handling permissions, retries, data integrity, and background workflows for data-heavy operations.\n\nPractical AI Integrations\n\n - Feature Development: Integrate AI capabilities into internal tools where they add real value (e.g., automated data validation, normalization, workflow triggers, search, and internal tooling).\n\n - Tooling & Workflows: Work with prompt-based systems and structured LLM integrations alongside our research and ops teams.\n\nFeature Ownership & Execution\n\n - End-to-End Delivery: Take features from design and implementation through testing and deployment.\n\n - Production Support: Monitor, debug, and improve performance and reliability in production.\n\n - Pragmatic Mindset: Balance speed, code cleanliness, and correctness with guidance from senior engineering leadership.\n\n\nWHO YOU ARE:\n\n - 5-7 years of professional experience building and maintaining full-stack web applications in production environments.\n\n - Solid Frontend Skills: Proficiency in JavaScript / TypeScript, React, and modern web frameworks.\n\n - Solid Backend Skills: Hands-on experience developing REST/GraphQL APIs with Node.js and/or Python.\n\n - Database & Data Basics: Practical experience working with relational databases (e.g., PostgreSQL) and ORMs.\n\n - AI Tooling as a Force Multiplier: Active daily use of AI development tools (Cursor, Copilot, Claude, etc.) to prototype faster, debug code, and increase productivity.\n\n - End-to-End Execution: Ability to work across the stack to ship features and troubleshoot issues independently.\n\n\nWHAT YOU BRING:\n\n - Experience building internal tools, dashboards, or workflow-heavy applications.\n\n - Comfort working alongside non-technical stakeholders (operations, product, leadership) to clarify feature requirements.\n\n - Good instincts for keeping solutions simple and maintainable rather than over-engineering.\n\n - Strong team player who communicates clearly, accepts feedback, and enjoys continuous learning.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Exposure to cloud environments (*AWS, GCP, or Azure**) and standard deployment pipelines (CI/CD, Docker).\n\n - Basic experience or strong curiosity regarding AI/LLM API integrations (e.g., prompt engineering, document extraction, vector search).\n\n - Experience with data pipelines, ETL workflows, or handling data-intensive operations.\n\n - Prior experience in consulting, client-facing roles, or fast-paced startup environments.\n\n - Familiarity with mobile development (React Native) or design systems.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$165K – CA$200K • Offers Equity","scrapeableCompensationSalarySummary":"CA$165K - CA$200K","compensationTiers":[{"id":"c68c8901-6a6b-4618-b84b-7804a8b0cb08","tierSummary":"CA$165K – CA$200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"3cfc8b65-6409-4820-bf2c-abbc615d169b","summary":"CA$165K – CA$200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":200000},{"id":"965d14c0-794d-480b-b39f-1573c7eba417","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"a8c6110f-ac79-441b-9e76-4d46978b5b1b","title":"Special Projects Lead, Sciences","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T12:58:33.610+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/a8c6110f-ac79-441b-9e76-4d46978b5b1b","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/a8c6110f-ac79-441b-9e76-4d46978b5b1b/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We’re hiring a Special Projects Lead to build and run scientific programmes that produce high-quality data for AI and robotics. You’ll work across scientific partnerships, programme development and laboratory operations, taking initiatives from an initial brief through launch and ongoing delivery.
This is a hands-on strategy and operations role. You’ll assess opportunities, set operating priorities and work through the practical challenges of getting new programmes running. You should be comfortable shaping a plan, making decisions with incomplete information and doing the work needed to deliver it.
Develop scientific programmes. Translate commercial and scientific objectives into practical plans, milestones and operating requirements.
Build and manage partnerships. Develop relationships with scientific organisations, coordinate agreements and onboarding, and manage ongoing performance.
Launch new initiatives. Establish workflows, coordinate equipment and resources, train teams and resolve readiness gaps.
Own operating performance. Manage quality, throughput, schedules and cost. Identify bottlenecks and improve how programmes run.
Coordinate people and resources. Manage partner teams, vendors and logistics across locations. Keep commitments clear and resolve issues directly.
Make informed operating decisions. Evaluate opportunities, test assumptions and use delivery evidence to decide what to improve, expand or stop.
Scientific fluency from laboratory experience or sustained work with experimental scientists.
A track record of launching and running programmes or operations, with responsibility for delivery, quality and cost.
Experience managing external partnerships and coordinating people, vendors and operational resources.
Evidence of prioritizing work, evaluating tradeoffs and making sound decisions under uncertainty.
Willingness and ability to execute directly, including resolving practical problems alongside coordinating others.
Scientific or laboratory operations, research partnerships or technical special projects.
Founder or early startup experience involving substantial operating responsibility.
Building and improving operations across multiple sites or international partner teams.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nWe’re hiring a Special Projects Lead to build and run scientific programmes that produce high-quality data for AI and robotics. You’ll work across scientific partnerships, programme development and laboratory operations, taking initiatives from an initial brief through launch and ongoing delivery.\n\nThis is a hands-on strategy and operations role. You’ll assess opportunities, set operating priorities and work through the practical challenges of getting new programmes running. You should be comfortable shaping a plan, making decisions with incomplete information and doing the work needed to deliver it.\n\n\n\n\nWHAT YOU WILL DO:\n\n - Develop scientific programmes. Translate commercial and scientific objectives into practical plans, milestones and operating requirements.\n\n - Build and manage partnerships. Develop relationships with scientific organisations, coordinate agreements and onboarding, and manage ongoing performance.\n\n - Launch new initiatives. Establish workflows, coordinate equipment and resources, train teams and resolve readiness gaps.\n\n - Own operating performance. Manage quality, throughput, schedules and cost. Identify bottlenecks and improve how programmes run.\n\n - Coordinate people and resources. Manage partner teams, vendors and logistics across locations. Keep commitments clear and resolve issues directly.\n\n - Make informed operating decisions. Evaluate opportunities, test assumptions and use delivery evidence to decide what to improve, expand or stop.\n\n\n\n\nWHAT YOU BRING:\n\n - Scientific fluency from laboratory experience or sustained work with experimental scientists.\n\n - A track record of launching and running programmes or operations, with responsibility for delivery, quality and cost.\n\n - Experience managing external partnerships and coordinating people, vendors and operational resources.\n\n - Evidence of prioritizing work, evaluating tradeoffs and making sound decisions under uncertainty.\n\n - Willingness and ability to execute directly, including resolving practical problems alongside coordinating others.\n\n\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Scientific or laboratory operations, research partnerships or technical special projects.\n\n - Founder or early startup experience involving substantial operating responsibility.\n\n - Building and improving operations across multiple sites or international partner teams.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$160K – $220K • Offers Equity","scrapeableCompensationSalarySummary":"$160K - $220K","compensationTiers":[{"id":"6c2b77e0-cca6-484e-b083-280e78e0664c","tierSummary":"$160K – $220K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"52416b7c-710f-4b76-84ba-2a522794be85","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"abc62a3b-44c1-49dc-8acb-f6cfb0875d1c","summary":"$160K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}},{"id":"5df3ecca-5c93-44f4-981e-7d2f4e2f7eff","title":"Autonomous Science Lead","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T13:04:35.804+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/5df3ecca-5c93-44f4-981e-7d2f4e2f7eff","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/5df3ecca-5c93-44f4-981e-7d2f4e2f7eff/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
We’re hiring an Autonomous Science Lead to make automated laboratory work scientifically valid and reliable. You’ll lead experimental methods and scientific operations, combining hands-on laboratory experience with an understanding of AI, robotics and automation.
You’ll work directly with instruments, protocols and experimental results, alongside scientists and engineering specialists. The role requires someone who can establish sound scientific methods, troubleshoot practical problems and turn promising workflows into dependable operations.
Own experimental methods. Select and adapt protocols, design controls and define scientific acceptance criteria.
Develop automated workflows. Assess and qualify instruments, labware and automation with engineering specialists.
Establish scientific validity. Evaluate results, investigate variability and distinguish execution problems from scientific failures.
Lead laboratory operations. Plan staffing, equipment, materials and operating requirements. Establish training, documentation and safe working procedures.
Troubleshoot hands-on. Diagnose problems at the bench and across instruments, hardware and software. Coordinate technical fixes and verify their effects.
Improve operating performance. Assess reproducibility, throughput, manual effort and cost. Identify which methods are ready for routine use and where further development is needed.
Substantial hands-on experimental work, with ownership of methods, controls, reproducibility and interpretation.
Experience running automated laboratory operations, including instruments, resources, staffing and quality procedures.
Practical experience with AI and robotics in laboratory automation or experimental systems.
Working knowledge of reinforcement learning and model evaluation, sufficient to contribute to scientifically meaningful tasks and assessments.
Ability to work directly at the bench and with instruments, and translate scientific requirements into specifications for engineers.
Experience building RL environments, robotic benchmarks or model-evaluation tools.
Scientific leadership in a contract research organisation, research core or shared instrumentation facility.
Improving experimental reliability, turnaround or cost across different operators, instruments or operating conditions.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nWe’re hiring an Autonomous Science Lead to make automated laboratory work scientifically valid and reliable. You’ll lead experimental methods and scientific operations, combining hands-on laboratory experience with an understanding of AI, robotics and automation.\n\nYou’ll work directly with instruments, protocols and experimental results, alongside scientists and engineering specialists. The role requires someone who can establish sound scientific methods, troubleshoot practical problems and turn promising workflows into dependable operations.\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Own experimental methods. Select and adapt protocols, design controls and define scientific acceptance criteria.\n\n - Develop automated workflows. Assess and qualify instruments, labware and automation with engineering specialists.\n\n - Establish scientific validity. Evaluate results, investigate variability and distinguish execution problems from scientific failures.\n\n - Lead laboratory operations. Plan staffing, equipment, materials and operating requirements. Establish training, documentation and safe working procedures.\n\n - Troubleshoot hands-on. Diagnose problems at the bench and across instruments, hardware and software. Coordinate technical fixes and verify their effects.\n\n - Improve operating performance. Assess reproducibility, throughput, manual effort and cost. Identify which methods are ready for routine use and where further development is needed.\n\n\nWHAT YOU BRING:\n\n - Substantial hands-on experimental work, with ownership of methods, controls, reproducibility and interpretation.\n\n - Experience running automated laboratory operations, including instruments, resources, staffing and quality procedures.\n\n - Practical experience with AI and robotics in laboratory automation or experimental systems.\n\n - Working knowledge of reinforcement learning and model evaluation, sufficient to contribute to scientifically meaningful tasks and assessments.\n\n - Ability to work directly at the bench and with instruments, and translate scientific requirements into specifications for engineers.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience building RL environments, robotic benchmarks or model-evaluation tools.\n\n - Scientific leadership in a contract research organisation, research core or shared instrumentation facility.\n\n - Improving experimental reliability, turnaround or cost across different operators, instruments or operating conditions.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$160K – $200K • Offers Equity","scrapeableCompensationSalarySummary":"$160K - $200K","compensationTiers":[{"id":"96ec555a-cdd7-4856-b6b3-d1962d3e8cb1","tierSummary":"$160K – $200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"e345336b-40af-4264-a190-cb14531a733b","summary":"$160K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"id":"1d0a6b43-43bc-405c-8624-4a238f641f63","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"b4e52806-9aca-4d5a-a74f-ba5d7741ba36","title":"Robotic Sales Representative","department":"Sales & Customer Delivery","team":"Sales & Customer Delivery","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T14:19:44.482+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/b4e52806-9aca-4d5a-a74f-ba5d7741ba36","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/b4e52806-9aca-4d5a-a74f-ba5d7741ba36/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The role
We're looking for a Robotics Sales Representative to put autonomous service robots into sites across the Greater Toronto Area. This is a hands-on, full-cycle sales role: you'll find the accounts, open the doors, run the pilots, and close rental and purchase deals. Our goal is deployed robots that run every day.
What you'll do
Own the GTA pipeline end-to-end — prospecting, qualification, pilots, and close
Build channel partnerships
Qualify sites on the floor: floor area, surface types, layout, hours of operation, and Wi-Fi/elevator access
Structure rental and purchase deals; negotiate terms and hand off cleanly to deployment and service
Work with our service partners and deployment engineers so every robot is installed, trained, and in use
Own the numbers — pipeline, pilots, conversion, robots deployed
Bring customer feedback back to the team on what to sell, where, and at what price
Run on-site demos and free pilots, and turn pilot results into a clear ROI case for the customer
What you'll bring
3+ years of B2B field sales with a record of closing deals
Background in robotics, commercial cleaning equipment, facility services, or building technology
A strong network in GTA commercial real estate, facility management, or janitorial services
Valid driver's licence and a vehicle for site visits
Comfort with long, multi-stakeholder sales: operations managers, procurement, and executives
Self-starter who can build a territory from zero with little structure
Comfort with CRM and sales tools, and the ability to use AI tools to research accounts and track your pipeline
Nice to have
Previously sold or deployed autonomous robots (cleaning, delivery, or warehouse)
Channel / distributor / reseller sales experience
Experience selling rental, lease, or Robotics-as-a-Service (RaaS) models
Comfort with basic technical setup (mapping a site, Wi-Fi, app configuration)
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe role\n\nWe're looking for a Robotics Sales Representative to put autonomous service robots into sites across the Greater Toronto Area. This is a hands-on, full-cycle sales role: you'll find the accounts, open the doors, run the pilots, and close rental and purchase deals. Our goal is deployed robots that run every day.\n\n\n\nWhat you'll do\n\n - Own the GTA pipeline end-to-end — prospecting, qualification, pilots, and close\n\n - Build channel partnerships\n\n - Qualify sites on the floor: floor area, surface types, layout, hours of operation, and Wi-Fi/elevator access\n\n - Structure rental and purchase deals; negotiate terms and hand off cleanly to deployment and service\n\n - Work with our service partners and deployment engineers so every robot is installed, trained, and in use\n\n - Own the numbers — pipeline, pilots, conversion, robots deployed\n\n - Bring customer feedback back to the team on what to sell, where, and at what price\n\n - Run on-site demos and free pilots, and turn pilot results into a clear ROI case for the customer\n\n\n\nWhat you'll bring\n\n - 3+ years of B2B field sales with a record of closing deals\n\n - Background in robotics, commercial cleaning equipment, facility services, or building technology\n\n - A strong network in GTA commercial real estate, facility management, or janitorial services\n\n - Valid driver's licence and a vehicle for site visits\n\n - Comfort with long, multi-stakeholder sales: operations managers, procurement, and executives\n\n - Self-starter who can build a territory from zero with little structure\n\n - Comfort with CRM and sales tools, and the ability to use AI tools to research accounts and track your pipeline\n\n\n\nNice to have\n\n - Previously sold or deployed autonomous robots (cleaning, delivery, or warehouse)\n\n - Channel / distributor / reseller sales experience\n\n - Experience selling rental, lease, or Robotics-as-a-Service (RaaS) models\n\n - Comfort with basic technical setup (mapping a site, Wi-Fi, app configuration)\n \n \n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$115K – CA$165K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"CA$115K - CA$165K","compensationTiers":[{"id":"5b13afc0-5b83-45dc-a8e9-0dd5fd300baa","tierSummary":"CA$115K – CA$165K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"12870f76-6088-4fe5-b90c-3f096c2ecd55","summary":"CA$115K – CA$165K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":115000,"maxValue":165000},{"id":"7a00d681-90a5-4085-800c-4737cfa1e12b","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"CAD","minValue":null,"maxValue":null},{"id":"971ed14b-3287-4707-a43e-30a9527fee10","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":115000,"maxValue":165000},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"CAD","minValue":null,"maxValue":null},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"77d2ea12-8353-426b-9f58-c7641ccd37c5","title":"Hardware Lead, Tactile Gloves","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-10-08T19:31:04.230+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/77d2ea12-8353-426b-9f58-c7641ccd37c5","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/77d2ea12-8353-426b-9f58-c7641ccd37c5/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
As Tactile Gloves Program Lead, you are the single owner of the tactile glove program: product definition, design ownership, execution cadence, and production outcomes.
This is a true 0→1 build role. You will take tactile gloves from concept → prototype → EVT/DVT/PVT → volume, working across industrial design, mechanical/EE/firmware, suppliers/CMs, and field ops. You are accountable for shipping a glove that is reliable, manufacturable, and produces high-quality tactile signals at scale.
Product requirements & roadmap: define what the glove must do (sensing, fit, comfort, durability, calibration, data quality) and the milestones to get there.
Design ownership: drive industrial design + mechanical architecture decisions; ensure the glove is wearable, serviceable, and scalable to manufacture.
Sensor stack & data quality: partner with sensing/firmware/ML teams to define the signal quality bar and the calibration + validation approach.
Manufacturing ramp: own supplier selection, DFM, tooling, test fixtures, yield targets, and ramp plans (EVT/DVT/PVT → production).
Cost and schedule: run the program like a machine — tight BOM discipline, clear decision points, aggressive iteration.
Reliability: make the glove survive real use (sweat, abrasion, flex, drops) and keep the signals stable across time and units.
Build the end-to-end program plan and run the weekly execution cadence.
Translate product goals into engineering workstreams with clear owners and deadlines.
Drive rapid prototype iterations (mechanical, sensing, packaging) and enforce learnings into the next build.
Own vendor + CM communications: quotes, lead times, MOQ, tooling, test plans, and escalation.
Stand up production test and QA: fixtures, calibration routines, acceptance criteria, and audit trails.
Coordinate early pilot deployments to validate real-world performance and failure modes.
You have shipped a 0→1 hardware product through production ramp (EVT/DVT/PVT) and know what breaks in the real world.
You can hold the full stack: design, suppliers, schedules, manufacturing tests, and quality — not just “PM work.”
You’re fluent in DFM/DFT, yield, reliability, and the realities of supply chain.
You have strong taste for product: comfort, ergonomics, and usability matter as much as sensor performance.
Experience with wearables, gloves, haptics, tactile sensors, or force/pressure sensing.
Experience building calibration pipelines and production test infrastructure.
Experience working with China-based suppliers and CMs.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nAs Tactile Gloves Program Lead, you are the single owner of the tactile glove program: product definition, design ownership, execution cadence, and production outcomes.\n\nThis is a true 0→1 build role. You will take tactile gloves from concept → prototype → EVT/DVT/PVT → volume, working across industrial design, mechanical/EE/firmware, suppliers/CMs, and field ops. You are accountable for shipping a glove that is reliable, manufacturable, and produces high-quality tactile signals at scale.\n\n\n\n\nWHAT YOU’LL OWN\n\n - Product requirements & roadmap: define what the glove must do (sensing, fit, comfort, durability, calibration, data quality) and the milestones to get there.\n\n - Design ownership: drive industrial design + mechanical architecture decisions; ensure the glove is wearable, serviceable, and scalable to manufacture.\n\n - Sensor stack & data quality: partner with sensing/firmware/ML teams to define the signal quality bar and the calibration + validation approach.\n\n - Manufacturing ramp: own supplier selection, DFM, tooling, test fixtures, yield targets, and ramp plans (EVT/DVT/PVT → production).\n\n - Cost and schedule: run the program like a machine — tight BOM discipline, clear decision points, aggressive iteration.\n\n - Reliability: make the glove survive real use (sweat, abrasion, flex, drops) and keep the signals stable across time and units.\n\n\nWHAT YOU’LL DO\n\n - Build the end-to-end program plan and run the weekly execution cadence.\n\n - Translate product goals into engineering workstreams with clear owners and deadlines.\n\n - Drive rapid prototype iterations (mechanical, sensing, packaging) and enforce learnings into the next build.\n\n - Own vendor + CM communications: quotes, lead times, MOQ, tooling, test plans, and escalation.\n\n - Stand up production test and QA: fixtures, calibration routines, acceptance criteria, and audit trails.\n\n - Coordinate early pilot deployments to validate real-world performance and failure modes.\n\n\nYOU MIGHT BE A FIT IF\n\n - You have shipped a 0→1 hardware product through production ramp (EVT/DVT/PVT) and know what breaks in the real world.\n\n - You can hold the full stack: design, suppliers, schedules, manufacturing tests, and quality — not just “PM work.”\n\n - You’re fluent in DFM/DFT, yield, reliability, and the realities of supply chain.\n\n - You have strong taste for product: comfort, ergonomics, and usability matter as much as sensor performance.\n\n\nBONUS\n\n - Experience with wearables, gloves, haptics, tactile sensors, or force/pressure sensing.\n\n - Experience building calibration pipelines and production test infrastructure.\n\n - Experience working with China-based suppliers and CMs.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$200K – $225K","scrapeableCompensationSalarySummary":"$200K - $225K","compensationTiers":[{"id":"b7a70ded-7d40-49c2-9ffd-eb3980884f85","tierSummary":"$200K – $225K","title":null,"additionalInformation":null,"components":[{"id":"362024e8-7b8f-4347-a142-54f430bcf0e1","summary":"$200K – $225K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":225000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":225000}]}},{"id":"d1722609-c076-485a-87a2-1c4684b403c5","title":"Product Engineer, Labs","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T15:22:36.672+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/d1722609-c076-485a-87a2-1c4684b403c5","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/d1722609-c076-485a-87a2-1c4684b403c5/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
As Product Engineer, Labs, you'll build 0-to-1 products for Mecka's Labs team, launching new verticals across robotics, manufacturing, science, reinforcement learning environments and other technical domains. Work directly with users and product colleagues to understand a problem, ship an initial solution and improve it through use.
This is a generalist engineering role across frontend, backend and data. You'll learn unfamiliar domains, make practical product decisions and own implementation through production, investigating how users work and what they need.
Build end-to-end workflows: Develop user interfaces, services, APIs and data models. Take a product from an early prototype through deployment and ongoing use.
Work directly with users: Observe how people work, identify bottlenecks and turn feedback into clear requirements. Make complex tasks easier without losing information users depend on.
Connect tools and data: Build integrations, imports and exports across unfamiliar systems. Handle inconsistent inputs, validation errors and access boundaries clearly.
Develop reusable components: Identify common needs across products and build components that are straightforward to maintain. Balance reuse against the needs of the current problem.
Own reliability: Test, deploy, monitor and support what you ship. Investigate failures across the stack and improve performance and usability based on production evidence.
Iterate with product judgment: Scope useful releases, instrument important workflows and assess whether changes help users. Communicate technical tradeoffs and collaborate with domain specialists.
Engineering experience: You bring 4+ years of engineering experience and have shipped and maintained working products across the frontend, backend and database, with responsibility beyond an initial demonstration.
Interface development: You can build clear, interactive web applications and handle loading states, errors and complex user input thoughtfully.
Backend and data: You can design APIs and data models, integrate external systems and debug processing or storage problems.
Product judgment: You can turn an ambiguous request into a useful first release, work closely with users and revise your approach as evidence changes.
Adaptability and ownership: You learn unfamiliar workflows quickly, investigate problems independently and communicate clearly with technical and domain experts.
Data-intensive applications, media or document processing, or workflows involving human review.
Practical experience building AI-enabled products and evaluating their behavior in use.
Early-stage product development, including making and revisiting scope decisions with a small team.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nAs Product Engineer, Labs, you'll build 0-to-1 products for Mecka's Labs team, launching new verticals across robotics, manufacturing, science, reinforcement learning environments and other technical domains. Work directly with users and product colleagues to understand a problem, ship an initial solution and improve it through use.\n\nThis is a generalist engineering role across frontend, backend and data. You'll learn unfamiliar domains, make practical product decisions and own implementation through production, investigating how users work and what they need.\n\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Build end-to-end workflows: Develop user interfaces, services, APIs and data models. Take a product from an early prototype through deployment and ongoing use.\n\n - Work directly with users: Observe how people work, identify bottlenecks and turn feedback into clear requirements. Make complex tasks easier without losing information users depend on.\n\n - Connect tools and data: Build integrations, imports and exports across unfamiliar systems. Handle inconsistent inputs, validation errors and access boundaries clearly.\n\n - Develop reusable components: Identify common needs across products and build components that are straightforward to maintain. Balance reuse against the needs of the current problem.\n\n - Own reliability: Test, deploy, monitor and support what you ship. Investigate failures across the stack and improve performance and usability based on production evidence.\n\n - Iterate with product judgment: Scope useful releases, instrument important workflows and assess whether changes help users. Communicate technical tradeoffs and collaborate with domain specialists.\n\n\nWHAT YOU BRING:\n\n - Engineering experience: You bring 4+ years of engineering experience and have shipped and maintained working products across the frontend, backend and database, with responsibility beyond an initial demonstration.\n\n - Interface development: You can build clear, interactive web applications and handle loading states, errors and complex user input thoughtfully.\n\n - Backend and data: You can design APIs and data models, integrate external systems and debug processing or storage problems.\n\n - Product judgment: You can turn an ambiguous request into a useful first release, work closely with users and revise your approach as evidence changes.\n\n - Adaptability and ownership: You learn unfamiliar workflows quickly, investigate problems independently and communicate clearly with technical and domain experts.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Data-intensive applications, media or document processing, or workflows involving human review.\n\n - Practical experience building AI-enabled products and evaluating their behavior in use.\n\n - Early-stage product development, including making and revisiting scope decisions with a small team.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$140K – $180K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $180K","compensationTiers":[{"id":"09673dd2-60ee-4e82-af0e-b2e2805d1909","tierSummary":"$140K – $180K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6a951be6-32a4-4410-b356-a2cf980094d5","summary":"$140K – $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000},{"id":"2fd3cbb2-d4c9-46c0-b794-048a0e635d2f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"ede6ccfb-b5a5-413e-97c5-255ec9a05331","title":"Senior Software Engineer, Web & SDK","department":"Software & Data","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-08T18:59:45.822+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/ede6ccfb-b5a5-413e-97c5-255ec9a05331","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/ede6ccfb-b5a5-413e-97c5-255ec9a05331/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data usable, and the SDKs that let our teams — and, as we open the platform, external developers — build against our hardware and data.
Our data team owns ingest, storage, and processing; you own the developer- and viewer-facing layer on top — clean APIs, documentation, and rich, performant frontends. You sit at the seam between hardware, the data team, and the people who consume the data, and you own the interfaces that connect them.
Design and ship web viewers and players for egocentric capture data: multi-stream playback, timeline scrubbing, sync, and performance with large media.
Design and build SDKs for our hardware and data — clean APIs, documentation, versioning, and developer ergonomics.
Own the interface contracts at the hardware/data/consumer seam, coordinating with embedded and the data team.
Define and ship the tooling and reference implementations that make our data usable to internal teams today and external developers as the platform opens up.
Track record of shipping production web apps to real users (typically 4+ years for mid, 7+ for senior), including at least one media- or data-heavy product you owned end to end.
Strong frontend engineering for media-heavy web apps (video/sensor playback, large-data performance) — modern JS/TS and a major framework.
Demonstrated API/SDK design sense — you've built interfaces other engineers depended on and treated their ergonomics as a feature.
Comfortable working across teams and holding multiple interfaces in your head, rather than implementing a handed-down spec.
Experience with video/media tooling, WebGL/WebCodecs, or large time-series/sensor visualization.
Prior SDK or developer-platform work with external consumers.
Familiarity with hardware/data-adjacent products.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nThe data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data usable, and the SDKs that let our teams — and, as we open the platform, external developers — build against our hardware and data.\n\nOur data team owns ingest, storage, and processing; you own the developer- and viewer-facing layer on top — clean APIs, documentation, and rich, performant frontends. You sit at the seam between hardware, the data team, and the people who consume the data, and you own the interfaces that connect them.\n\n\nWHAT YOU'LL DO\n\n - Design and ship web viewers and players for egocentric capture data: multi-stream playback, timeline scrubbing, sync, and performance with large media.\n\n - Design and build SDKs for our hardware and data — clean APIs, documentation, versioning, and developer ergonomics.\n\n - Own the interface contracts at the hardware/data/consumer seam, coordinating with embedded and the data team.\n\n - Define and ship the tooling and reference implementations that make our data usable to internal teams today and external developers as the platform opens up.\n\n\nWHAT YOU BRING\n\n - Track record of shipping production web apps to real users (typically 4+ years for mid, 7+ for senior), including at least one media- or data-heavy product you owned end to end.\n\n - Strong frontend engineering for media-heavy web apps (video/sensor playback, large-data performance) — modern JS/TS and a major framework.\n\n - Demonstrated API/SDK design sense — you've built interfaces other engineers depended on and treated their ergonomics as a feature.\n\n - Comfortable working across teams and holding multiple interfaces in your head, rather than implementing a handed-down spec.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with video/media tooling, WebGL/WebCodecs, or large time-series/sensor visualization.\n\n - Prior SDK or developer-platform work with external consumers.\n\n - Familiarity with hardware/data-adjacent products.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$160K – CA$200K • Offers Equity","scrapeableCompensationSalarySummary":"CA$160K - CA$200K","compensationTiers":[{"id":"f6df342e-bbd1-4173-b916-2e003bb564ec","tierSummary":"CA$160K – CA$200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5f7cc112-1ae4-4db9-8743-ed31109ef17f","summary":"CA$160K – CA$200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":160000,"maxValue":200000},{"id":"3cda17a5-ba37-4e2c-b6d7-3dcd4fae23d1","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":160000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"0d4bd078-b235-4b7d-aa33-0f8c52062645","title":"Research Engineer, RL Env","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-10-07T15:29:54.858+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/0d4bd078-b235-4b7d-aa33-0f8c52062645","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/0d4bd078-b235-4b7d-aa33-0f8c52062645/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
The Research Engineer, RL Env role at Mecka AI involves building reinforcement learning environments that help researchers train models and understand their capabilities. Across Mecka's Labs team, you'll translate real tasks into computational problems, implement environments for model training and test whether measured progress reflects useful behavior.
This is a hands-on research engineering role for someone who knows how to construct reinforcement learning environments. You'll write working software, investigate failures and develop methods with product colleagues, domain experts and engineers.
Build environments: Define tasks, observations, actions and state transitions. Implement reset behavior, termination conditions and measurable outcomes in environments agents can interact with.
Develop rewards and scoring: Translate task objectives into feedback and evaluation criteria. Test whether agents can exploit scoring rules without completing the intended task.
Run learning experiments: Implement baseline agents, train and compare policies, and design controlled experiments that isolate the effects of data, methods and environment changes.
Make evaluation reliable: Separate training and held-out tasks, check for leakage, version experiments and repeat runs. Report uncertainty and performance across conditions alongside aggregate scores.
Investigate failures: Inspect trajectories and learning behavior to distinguish policy limitations from data, reward or environment problems. Use findings to prioritize the next experiment.
Build with the team: Work with domain experts to validate task assumptions and with engineers to turn research prototypes into reusable environments, evaluation tools and documented methods.
RL environment expertise: You have hands-on experience formulating problems, constructing environments, training agents and critically assessing results.
Strong programming and software debugging skills; able to build and test research systems that other people can run and extend.
Sound experimental design and statistical reasoning, including controlled comparisons, evaluation splits, variability and the limits of benchmark results.
Ability to reason about environment dynamics, reward design and agent behavior, and trace unexpected results to concrete causes.
Independent research judgment and clear communication; learn unfamiliar domains, work with specialists and explain assumptions, tradeoffs and findings.
Experience building interactive environments, simulators or benchmarks used by other researchers.
Work on agent evaluation, reward design, imitation learning or learning from real-world data.
Research artifacts with reproducible experiments, useful baselines and evidence of investigating failures beyond headline scores.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nThe Research Engineer, RL Env role at Mecka AI involves building reinforcement learning environments that help researchers train models and understand their capabilities. Across Mecka's Labs team, you'll translate real tasks into computational problems, implement environments for model training and test whether measured progress reflects useful behavior.\n\nThis is a hands-on research engineering role for someone who knows how to construct reinforcement learning environments. You'll write working software, investigate failures and develop methods with product colleagues, domain experts and engineers.\n\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Build environments: Define tasks, observations, actions and state transitions. Implement reset behavior, termination conditions and measurable outcomes in environments agents can interact with.\n\n - Develop rewards and scoring: Translate task objectives into feedback and evaluation criteria. Test whether agents can exploit scoring rules without completing the intended task.\n\n - Run learning experiments: Implement baseline agents, train and compare policies, and design controlled experiments that isolate the effects of data, methods and environment changes.\n\n - Make evaluation reliable: Separate training and held-out tasks, check for leakage, version experiments and repeat runs. Report uncertainty and performance across conditions alongside aggregate scores.\n\n - Investigate failures: Inspect trajectories and learning behavior to distinguish policy limitations from data, reward or environment problems. Use findings to prioritize the next experiment.\n\n - Build with the team: Work with domain experts to validate task assumptions and with engineers to turn research prototypes into reusable environments, evaluation tools and documented methods.\n\n\nWHAT YOU BRING:\n\n - RL environment expertise: You have hands-on experience formulating problems, constructing environments, training agents and critically assessing results.\n\n - Strong programming and software debugging skills; able to build and test research systems that other people can run and extend.\n\n - Sound experimental design and statistical reasoning, including controlled comparisons, evaluation splits, variability and the limits of benchmark results.\n\n - Ability to reason about environment dynamics, reward design and agent behavior, and trace unexpected results to concrete causes.\n\n - Independent research judgment and clear communication; learn unfamiliar domains, work with specialists and explain assumptions, tradeoffs and findings.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Experience building interactive environments, simulators or benchmarks used by other researchers.\n\n - Work on agent evaluation, reward design, imitation learning or learning from real-world data.\n\n - Research artifacts with reproducible experiments, useful baselines and evidence of investigating failures beyond headline scores.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$170K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $300K","compensationTiers":[{"id":"2da075d0-5601-434c-8f92-d418e99bf230","tierSummary":"$170K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"613252d3-18a9-48a7-ac35-99e01f6643d6","summary":"$170K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":300000},{"id":"2b694973-5532-4baa-b026-966eeba52ecc","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"4ffe7389-0840-495d-b918-9ecfc6dfcb4e","title":"Research Engineer, Simulation & World Models","department":"Labs","team":"Labs","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-10-07T15:33:50.838+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/4ffe7389-0840-495d-b918-9ecfc6dfcb4e","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/4ffe7389-0840-495d-b918-9ecfc6dfcb4e/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Build simulation systems that train and evaluate robots and embodied agents. Model physical interactions, create scalable training worlds and connect simulation with real-world data across Mecka Labs.
This is a hands-on research engineering role for someone exceptional in simulation, physics and learning. You'll work with MuJoCo, Isaac Sim and related tools, close sim-to-real gaps, and build learned or hybrid world models for prediction, planning and control. You own whether the simulated world behaves credibly and runs at scale; partner roles turn it into trainable tasks and reliable evaluations.
Build simulation environments: Model robots, sensors, objects, contacts, materials and dynamics, with scenarios grounded in real behavior.
Scale training workloads: Build reliable pipelines for parallel rollouts, synthetic data, policy training and evaluation.
Improve physical fidelity: Calibrate against measured data, find mismatches in dynamics or sensing and make targeted improvements.
Drive sim-to-real: Use system identification, domain randomization and controlled experiments to improve transfer.
Develop world models: Build learned dynamics or latent models, combine them with physics-based systems and test their value for prediction, planning and control.
Build with the team: Turn prototypes into reusable simulation assets, training infrastructure and documented methods with researchers and engineers.
Simulation and physics: Deep experience building and debugging physics-based simulation with MuJoCo, Isaac Sim or comparable platforms.
Robotics learning: Strong reinforcement learning and embodied AI fundamentals, including observations, actions, rewards and policy evaluation.
World models: Experience with learned dynamics, latent world models or hybrid physics-learning systems.
Research engineering: Strong Python and C++ systems skills; you build scalable, reproducible tools other researchers can extend.
Experimental judgment: Design controlled experiments, measure sim-to-real gaps and trace failures to models, data, policies or infrastructure.
Simulation or training infrastructure used at scale by a robotics or embodied AI research team.
Demonstrated sim-to-real transfer in manipulation, locomotion, navigation or another physical domain.
Published or open-source work in world models, differentiable simulation, GPU-accelerated simulation or model-based reinforcement learning.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\n\nBuild simulation systems that train and evaluate robots and embodied agents. Model physical interactions, create scalable training worlds and connect simulation with real-world data across Mecka Labs.\n\nThis is a hands-on research engineering role for someone exceptional in simulation, physics and learning. You'll work with MuJoCo, Isaac Sim and related tools, close sim-to-real gaps, and build learned or hybrid world models for prediction, planning and control. You own whether the simulated world behaves credibly and runs at scale; partner roles turn it into trainable tasks and reliable evaluations.\n\n\n\n\nWHAT YOU WILL BE DOING:\n\n - Build simulation environments: Model robots, sensors, objects, contacts, materials and dynamics, with scenarios grounded in real behavior.\n\n - Scale training workloads: Build reliable pipelines for parallel rollouts, synthetic data, policy training and evaluation.\n\n - Improve physical fidelity: Calibrate against measured data, find mismatches in dynamics or sensing and make targeted improvements.\n\n - Drive sim-to-real: Use system identification, domain randomization and controlled experiments to improve transfer.\n\n - Develop world models: Build learned dynamics or latent models, combine them with physics-based systems and test their value for prediction, planning and control.\n\n - Build with the team: Turn prototypes into reusable simulation assets, training infrastructure and documented methods with researchers and engineers.\n\n\nWHAT YOU BRING:\n\n - Simulation and physics: Deep experience building and debugging physics-based simulation with MuJoCo, Isaac Sim or comparable platforms.\n\n - Robotics learning: Strong reinforcement learning and embodied AI fundamentals, including observations, actions, rewards and policy evaluation.\n\n - World models: Experience with learned dynamics, latent world models or hybrid physics-learning systems.\n\n - Research engineering: Strong Python and C++ systems skills; you build scalable, reproducible tools other researchers can extend.\n\n - Experimental judgment: Design controlled experiments, measure sim-to-real gaps and trace failures to models, data, policies or infrastructure.\n\n\nEVEN BETTER IF YOU HAVE:\n\n - Simulation or training infrastructure used at scale by a robotics or embodied AI research team.\n\n - Demonstrated sim-to-real transfer in manipulation, locomotion, navigation or another physical domain.\n\n - Published or open-source work in world models, differentiable simulation, GPU-accelerated simulation or model-based reinforcement learning.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$170K – $200K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $200K","compensationTiers":[{"id":"d69d936d-42f0-474c-a313-66008d0d39f7","tierSummary":"$170K – $200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"968a7b32-20f2-4017-8f2b-983e52010fda","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"09236073-a3d6-4f53-8770-364a5a1be91c","summary":"$170K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":200000}]}},{"id":"49a29226-4dc9-488e-8b50-ff8136f634d2","title":"Electrical Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T16:49:14.370+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/49a29226-4dc9-488e-8b50-ff8136f634d2","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/49a29226-4dc9-488e-8b50-ff8136f634d2/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll design the electronics that turn physical experience into data robots can learn from. You'll build the boards and sensor interfaces behind Mecka's capture hardware, taking designs from schematics and first power-on through validation and production. As Mecka expands data collection around the world, your engineering decisions will shape signal quality, power consumption, and the performance of complete recording systems.
What You'll Do
Design circuits and schematics, and develop or review PCB layouts for capture and sensing hardware.
Bring up new boards and diagnose power, signal, timing, and communication problems on the bench.
Partner with firmware and mechanical engineers to validate complete systems under realistic recording workloads.
Work with suppliers to improve designs based on prototype results, production tests, component qualification, and field failures.
Document designs, measurements, and design changes clearly so others can build on your work.
What You Bring
3–4 years of experience designing and bringing up electronics hardware.
Depth in at least one of these specializations:
Digital hardware: SoC boards, memory, high-speed interfaces, signal and power integrity, and board bring-up.
Sensor electronics: low-noise acquisition, microcontrollers, compact circuits, and C or C++ firmware for hardware integration.
Experience designing schematics and PCBs in tools such as Altium or KiCad, and bringing up the resulting hardware.
A strong foundation in analog and digital electronics, power supplies, grounding, decoupling, and sensor interfaces.
Practical debugging skills with oscilloscopes, logic analyzers, power supplies, and electronic loads.
Ability to reason about signal quality, timing, power consumption, and how electronics and firmware interact.
Hands-on prototyping and rework skills.
Nice-to-have:
Experience with flexible circuits, EMC, wireless systems, battery-powered devices, or production testing.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll design the electronics that turn physical experience into data robots can learn from. You'll build the boards and sensor interfaces behind Mecka's capture hardware, taking designs from schematics and first power-on through validation and production. As Mecka expands data collection around the world, your engineering decisions will shape signal quality, power consumption, and the performance of complete recording systems.\n\nWhat You'll Do\n\n - Design circuits and schematics, and develop or review PCB layouts for capture and sensing hardware.\n\n - Bring up new boards and diagnose power, signal, timing, and communication problems on the bench.\n\n - Partner with firmware and mechanical engineers to validate complete systems under realistic recording workloads.\n\n - Work with suppliers to improve designs based on prototype results, production tests, component qualification, and field failures.\n\n - Document designs, measurements, and design changes clearly so others can build on your work.\n\nWhat You Bring\n\n - 3–4 years of experience designing and bringing up electronics hardware.\n\n - Depth in at least one of these specializations:\n \n - Digital hardware: SoC boards, memory, high-speed interfaces, signal and power integrity, and board bring-up.\n \n - Sensor electronics: low-noise acquisition, microcontrollers, compact circuits, and C or C++ firmware for hardware integration.\n\n - Experience designing schematics and PCBs in tools such as Altium or KiCad, and bringing up the resulting hardware.\n\n - A strong foundation in analog and digital electronics, power supplies, grounding, decoupling, and sensor interfaces.\n\n - Practical debugging skills with oscilloscopes, logic analyzers, power supplies, and electronic loads.\n\n - Ability to reason about signal quality, timing, power consumption, and how electronics and firmware interact.\n\n - Hands-on prototyping and rework skills.\n \n Nice-to-have:\n \n - Experience with flexible circuits, EMC, wireless systems, battery-powered devices, or production testing.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$146K – CA$190K","scrapeableCompensationSalarySummary":"CA$146K - CA$190K","compensationTiers":[{"id":"30f60c80-960d-42a1-b6ba-1aa3983c018f","tierSummary":"CA$146K – CA$190K","title":null,"additionalInformation":null,"components":[{"id":"9e9b7cd2-609a-4f5f-852f-cc8327433af6","summary":"CA$146K – CA$190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":146000,"maxValue":190000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":146000,"maxValue":190000}]}},{"id":"ddfa9330-db10-498f-9ea8-c3ae41080e54","title":"Sensor R&D Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:01:56.721+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/ddfa9330-db10-498f-9ea8-c3ae41080e54","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/ddfa9330-db10-498f-9ea8-c3ae41080e54/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Robots learn from the physical details of the world, and capturing those details takes the right sensors. You'll develop sensors that turn sensing principles into measurements that stay accurate inside real hardware, helping Mecka collect richer data across our global capture network. The work spans sensor development (sensing physics, materials, fabrication, and characterization) and sensor integration (readout electronics, calibration, signal processing, packaging, and system validation). We're looking for depth in one or both.
What You'll Do
Develop new sensors or integrate commercial ones, using controlled experiments to select and validate the right sensing approach.
Build test fixtures and characterize sensitivity, noise, hysteresis, drift, and variation between samples.
Develop calibration and signal-processing methods that turn raw signals into reliable measurements.
Integrate sensors with electronics and synchronized recording systems.
Validate performance after packaging and repeated use, so sensors hold up outside the lab.
Document methods the hardware team can reproduce.
What You Bring
Must-have:
3+ years of experience developing or integrating physical sensors.
Hands-on experience developing or integrating tactile, force, pressure, or other physical sensors, with an understanding of the underlying sensing physics.
Practical skills in laboratory instrumentation and data acquisition, with depth in either sensor fabrication and materials testing, or readout electronics and system integration.
Ability to design controlled experiments and distinguish useful signals from noise, fixture effects, and measurement error.
Proficiency in Python or a similar language for signal processing, analysis, and visualization.
Knowledge of calibration, measurement uncertainty, and how packaging affects sensor performance and durability.
Nice-to-have:
Experience taking a sensing technology from laboratory samples into repeatable manufacturing.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nRobots learn from the physical details of the world, and capturing those details takes the right sensors. You'll develop sensors that turn sensing principles into measurements that stay accurate inside real hardware, helping Mecka collect richer data across our global capture network. The work spans sensor development (sensing physics, materials, fabrication, and characterization) and sensor integration (readout electronics, calibration, signal processing, packaging, and system validation). We're looking for depth in one or both.\n\nWhat You'll Do\n\n - Develop new sensors or integrate commercial ones, using controlled experiments to select and validate the right sensing approach.\n\n - Build test fixtures and characterize sensitivity, noise, hysteresis, drift, and variation between samples.\n\n - Develop calibration and signal-processing methods that turn raw signals into reliable measurements.\n\n - Integrate sensors with electronics and synchronized recording systems.\n\n - Validate performance after packaging and repeated use, so sensors hold up outside the lab.\n\n - Document methods the hardware team can reproduce.\n\nWhat You Bring\nMust-have:\n\n - 3+ years of experience developing or integrating physical sensors.\n\n - Hands-on experience developing or integrating tactile, force, pressure, or other physical sensors, with an understanding of the underlying sensing physics.\n\n - Practical skills in laboratory instrumentation and data acquisition, with depth in either sensor fabrication and materials testing, or readout electronics and system integration.\n\n - Ability to design controlled experiments and distinguish useful signals from noise, fixture effects, and measurement error.\n\n - Proficiency in Python or a similar language for signal processing, analysis, and visualization.\n\n - Knowledge of calibration, measurement uncertainty, and how packaging affects sensor performance and durability.\n\nNice-to-have:\n\n - Experience taking a sensing technology from laboratory samples into repeatable manufacturing.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$150K – CA$190K • Offers Equity","scrapeableCompensationSalarySummary":"CA$150K - CA$190K","compensationTiers":[{"id":"44d76b3c-e2ec-413f-8514-4f9e4f78f336","tierSummary":"CA$150K – CA$190K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"9f43e782-f385-4b29-ab56-0039f38ed5cd","summary":"CA$150K – CA$190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":190000},{"id":"70279c38-23c6-4639-97a9-8a3c796e5ac8","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":190000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c71b26a0-1675-4bea-b445-20fc3cf070d5","title":"Hardware, Special Projects Lead","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:15:38.237+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/c71b26a0-1675-4bea-b445-20fc3cf070d5","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/c71b26a0-1675-4bea-b445-20fc3cf070d5/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
Lead the development of hardware that expands what Mecka can capture for robot learning. You will turn an ambitious product idea into a working system, then carry it through validation, manufacturing, and deployment.
This is hands-on technical leadership. You will define the product, choose its architecture, and build the prototypes that resolve the hardest questions. The opportunity is to shape complete systems whose performance and usability determine how much useful experience robots can learn from.
What You'll Do
Translate user needs and technical goals into clear product requirements and measurable acceptance criteria.
Choose system architectures and build prototypes that test the hardest assumptions early.
Lead technical reviews and resolve problems across mechanics, electronics, sensing, and software using experiments and measurements.
Work with suppliers and deployment teams to turn validated prototypes into reproducible hardware that performs reliably in the field.
What You Bring
Must-have:
Experience taking a complete hardware or robotics system from early prototypes through validation and deployment.
Deep hands-on expertise in mechanical design, electronics, embedded software, or another core hardware discipline.
Ability to define product requirements and make system tradeoffs involving performance, cost, power, reliability, and manufacturing.
Strong experimental, integration, and debugging skills, with the ability to evaluate the complete system.
Experience guiding engineers and suppliers through technical decisions, design reviews, and difficult development problems.
Nice-to-have:
Experience with precision tracking, synchronized sensor systems, or moving research hardware into production.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n \n\nThe Role\nLead the development of hardware that expands what Mecka can capture for robot learning. You will turn an ambitious product idea into a working system, then carry it through validation, manufacturing, and deployment.\n\nThis is hands-on technical leadership. You will define the product, choose its architecture, and build the prototypes that resolve the hardest questions. The opportunity is to shape complete systems whose performance and usability determine how much useful experience robots can learn from.\n\nWhat You'll Do\n\n - Translate user needs and technical goals into clear product requirements and measurable acceptance criteria.\n\n - Choose system architectures and build prototypes that test the hardest assumptions early.\n\n - Lead technical reviews and resolve problems across mechanics, electronics, sensing, and software using experiments and measurements.\n\n - Work with suppliers and deployment teams to turn validated prototypes into reproducible hardware that performs reliably in the field.\n\nWhat You Bring\n\nMust-have:\n\n - Experience taking a complete hardware or robotics system from early prototypes through validation and deployment.\n\n - Deep hands-on expertise in mechanical design, electronics, embedded software, or another core hardware discipline.\n\n - Ability to define product requirements and make system tradeoffs involving performance, cost, power, reliability, and manufacturing.\n\n - Strong experimental, integration, and debugging skills, with the ability to evaluate the complete system.\n\n - Experience guiding engineers and suppliers through technical decisions, design reviews, and difficult development problems.\n\nNice-to-have:\n\n - Experience with precision tracking, synchronized sensor systems, or moving research hardware into production.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$180K – CA$240K • Offers Equity","scrapeableCompensationSalarySummary":"CA$180K - CA$240K","compensationTiers":[{"id":"1fe25cf2-05f0-4bce-93b7-0f2abd401044","tierSummary":"CA$180K – CA$240K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"2e2e8bcd-0361-42b8-9915-c58937c08450","summary":"CA$180K – CA$240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":240000},{"id":"d4d33579-b086-4a0e-a3cc-f183788a0039","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":240000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c37a4416-8c79-4988-bd51-8daee492aa31","title":"Technical Program Manager, Capture","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:19:49.593+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/c37a4416-8c79-4988-bd51-8daee492aa31","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/c37a4416-8c79-4988-bd51-8daee492aa31/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll turn data requirements into capture programs that work across devices, operators, and locations. You will lead the execution that lets Mecka expand real-world data collection while meeting demanding standards for quality and delivery. The role connects engineering decisions to the realities of recording in the field. That means validating pilots, understanding what makes output usable, and building plans that hold up as operations grow.
What You'll Do
Turn dataset requirements into capture programs with clear quality standards, capacity plans, and delivery milestones.
Coordinate device availability, operator training, recording capacity, and data review across a program.
Plan and validate pilot captures before expanding operations.
Investigate data-quality issues with engineering and operations teams, and verify that corrective actions work.
Use measured capacity and data acceptance rates to forecast delivery, identify risks, and adjust the plan.
What You Bring
Must-have:
Experience delivering technical programs that combine hardware, software, and field operations.
Ability to build practical schedules, map dependencies, and resolve technical blockers across teams.
Understanding of sensor data, calibration, synchronization, and common recording failures.
Skill in analyzing throughput, quality, capacity, and cost using spreadsheets, queries, or scripts.
Ability to inspect recordings and diagnostic logs, ask precise engineering questions, and verify that a fix works.
Clear written communication, including operating procedures, technical decisions, and realistic delivery forecasts.
Nice-to-have:
Experience with robotics datasets or recording programs involving several sensor types.
Experience improving operator workflows or automating data-quality checks.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll turn data requirements into capture programs that work across devices, operators, and locations. You will lead the execution that lets Mecka expand real-world data collection while meeting demanding standards for quality and delivery. The role connects engineering decisions to the realities of recording in the field. That means validating pilots, understanding what makes output usable, and building plans that hold up as operations grow.\n\nWhat You'll Do\n\n - Turn dataset requirements into capture programs with clear quality standards, capacity plans, and delivery milestones.\n\n - Coordinate device availability, operator training, recording capacity, and data review across a program.\n\n - Plan and validate pilot captures before expanding operations.\n\n - Investigate data-quality issues with engineering and operations teams, and verify that corrective actions work.\n\n - Use measured capacity and data acceptance rates to forecast delivery, identify risks, and adjust the plan.\n\nWhat You Bring\nMust-have:\n\n - Experience delivering technical programs that combine hardware, software, and field operations.\n\n - Ability to build practical schedules, map dependencies, and resolve technical blockers across teams.\n\n - Understanding of sensor data, calibration, synchronization, and common recording failures.\n\n - Skill in analyzing throughput, quality, capacity, and cost using spreadsheets, queries, or scripts.\n\n - Ability to inspect recordings and diagnostic logs, ask precise engineering questions, and verify that a fix works.\n\n - Clear written communication, including operating procedures, technical decisions, and realistic delivery forecasts.\n\nNice-to-have:\n\n - Experience with robotics datasets or recording programs involving several sensor types.\n\n - Experience improving operator workflows or automating data-quality checks.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$180K – CA$200K • Offers Equity","scrapeableCompensationSalarySummary":"CA$180K - CA$200K","compensationTiers":[{"id":"f85af9bf-ce91-4058-857d-94efb5e97884","tierSummary":"CA$180K – CA$200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"81cb2f64-49e0-44ec-aa40-e3b6318d3fff","summary":"CA$180K – CA$200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":200000},{"id":"c850743d-01f7-47aa-a0e8-9177f19046d2","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"2b4498b7-f530-42b7-84f4-45cbeb883f0a","title":"Manufacturing Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:24:04.659+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/2b4498b7-f530-42b7-84f4-45cbeb883f0a","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/2b4498b7-f530-42b7-84f4-45cbeb883f0a/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll build the manufacturing processes and supplier capability that put Mecka's capture hardware into use around the world. Your work will determine how consistently we produce it, how quickly production can grow, and how well devices perform throughout their working life.
The role combines technical leadership of production readiness, capacity, supplier quality, and repair operations with hands-on process and tooling development. You'll turn measurements from the factory floor into lasting improvements in design and production. We're looking for depth in one or both of these areas:
Manufacturing program leadership: production readiness, supplier engineering, capacity planning, and product quality.
Process development: assembly, joining, interconnects, calibration, fixtures, and production testing.
What You'll Do
Develop production readiness and capacity plans with suppliers, aligning assembly, tooling, quality, and delivery requirements.
Build and qualify fixtures, calibration equipment, and production tests with engineering teams and suppliers.
Use yield, cycle-time, and failure data to find production constraints and verify corrective actions.
Improve designs for manufacturing.
Establish repair, rework, and requalification processes that return devices to service.
Guide suppliers through technical reviews, process qualification, and changes that improve quality, output, and cost.
What You Bring
Must-have:
Experience taking electronic hardware, sensors, or wearable products from development builds into production.
Hands-on skills in assembly process development, fixture design, production testing, and factory troubleshooting.
Knowledge of process qualification, measurement repeatability, statistical process control, and supplier quality.
Ability to connect manufacturing variation to physical defects and changes in product performance.
Experience working with engineers and suppliers to document processes and resolve difficult production problems.
Ability to travel frequently to Shenzhen.
Nice-to-have:
Experience with flexible circuits, textiles, adhesives, sensor calibration, or repair operations.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll build the manufacturing processes and supplier capability that put Mecka's capture hardware into use around the world. Your work will determine how consistently we produce it, how quickly production can grow, and how well devices perform throughout their working life.\n\nThe role combines technical leadership of production readiness, capacity, supplier quality, and repair operations with hands-on process and tooling development. You'll turn measurements from the factory floor into lasting improvements in design and production. We're looking for depth in one or both of these areas:\n\n - Manufacturing program leadership: production readiness, supplier engineering, capacity planning, and product quality.\n\n - Process development: assembly, joining, interconnects, calibration, fixtures, and production testing.\n\nWhat You'll Do\n\n - Develop production readiness and capacity plans with suppliers, aligning assembly, tooling, quality, and delivery requirements.\n\n - Build and qualify fixtures, calibration equipment, and production tests with engineering teams and suppliers.\n\n - Use yield, cycle-time, and failure data to find production constraints and verify corrective actions.\n\n - Improve designs for manufacturing.\n\n - Establish repair, rework, and requalification processes that return devices to service.\n\n - Guide suppliers through technical reviews, process qualification, and changes that improve quality, output, and cost.\n\nWhat You Bring\n\nMust-have:\n\n - Experience taking electronic hardware, sensors, or wearable products from development builds into production.\n\n - Hands-on skills in assembly process development, fixture design, production testing, and factory troubleshooting.\n\n - Knowledge of process qualification, measurement repeatability, statistical process control, and supplier quality.\n\n - Ability to connect manufacturing variation to physical defects and changes in product performance.\n\n - Experience working with engineers and suppliers to document processes and resolve difficult production problems.\n\n - Ability to travel frequently to Shenzhen.\n\nNice-to-have:\n\n - Experience with flexible circuits, textiles, adhesives, sensor calibration, or repair operations.\n\n \n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$165K – CA$185K • Offers Equity","scrapeableCompensationSalarySummary":"CA$165K - CA$185K","compensationTiers":[{"id":"712766da-a179-4cd1-ab20-97fe9075f824","tierSummary":"CA$165K – CA$185K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"e1f4c820-03b3-4a20-bfa7-62771d0890ff","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"1d0afe1f-520b-409b-ba06-e09f54dc3e74","summary":"CA$165K – CA$185K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":185000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":165000,"maxValue":185000}]}},{"id":"989517b5-c364-46cf-b5e2-903f8fa4ccf4","title":"Edge ML Engineer– Computer Vision","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:26:20.701+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/989517b5-c364-46cf-b5e2-903f8fa4ccf4","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/989517b5-c364-46cf-b5e2-903f8fa4ccf4/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll put advanced computer vision into the hardware that captures experience for robot learning. You'll train models, make them run on embedded devices, and carry their accuracy from controlled evaluation into real operating conditions, all within strict limits on latency, memory, and power. The role can include technical leadership of model development and deployment, and either way you'll be directly responsible for implementation and evaluation.
What You'll Do
Train and evaluate computer-vision models for deployment on embedded devices.
Build efficient C++ inference pipelines and integrate them with embedded Linux software.
Optimize models and runtime performance for latency, memory, power consumption, and sustained operation.
Test performance on representative data and hardware, and investigate errors across preprocessing, inference, and integration.
For the lead position: set architecture and evaluation standards while continuing to develop models and software.
What You Bring
Must-have:
Strong Python and C++ programming skills, including debugging and performance profiling.
Experience training and evaluating computer-vision models with a framework such as PyTorch.
Experience developing on embedded Linux and deploying models on resource-constrained hardware.
Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.
Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.
For the lead position: experience making architecture decisions and guiding engineers through model development and deployment.
Nice-to-have:
Experience with accelerator runtimes, custom operators, or camera and video pipelines.
Experience with dataset curation and rigorous evaluation of computer-vision models.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll put advanced computer vision into the hardware that captures experience for robot learning. You'll train models, make them run on embedded devices, and carry their accuracy from controlled evaluation into real operating conditions, all within strict limits on latency, memory, and power. The role can include technical leadership of model development and deployment, and either way you'll be directly responsible for implementation and evaluation.\n\nWhat You'll Do\n\n - Train and evaluate computer-vision models for deployment on embedded devices.\n\n - Build efficient C++ inference pipelines and integrate them with embedded Linux software.\n\n - Optimize models and runtime performance for latency, memory, power consumption, and sustained operation.\n\n - Test performance on representative data and hardware, and investigate errors across preprocessing, inference, and integration.\n\n - For the lead position: set architecture and evaluation standards while continuing to develop models and software.\n\nWhat You Bring\n\nMust-have:\n\n - Strong Python and C++ programming skills, including debugging and performance profiling.\n\n - Experience training and evaluating computer-vision models with a framework such as PyTorch.\n\n - Experience developing on embedded Linux and deploying models on resource-constrained hardware.\n\n - Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.\n\n - Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.\n\n - For the lead position: experience making architecture decisions and guiding engineers through model development and deployment.\n\nNice-to-have:\n\n - Experience with accelerator runtimes, custom operators, or camera and video pipelines.\n\n - Experience with dataset curation and rigorous evaluation of computer-vision models.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$170K – CA$190K • Offers Equity","scrapeableCompensationSalarySummary":"CA$170K - CA$190K","compensationTiers":[{"id":"cc59efb5-ca11-441c-b4d1-53517013201f","tierSummary":"CA$170K – CA$190K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5c08c5bd-243d-4fb3-aae9-89ca6734812a","summary":"CA$170K – CA$190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":170000,"maxValue":190000},{"id":"a791147d-cc12-49fa-a4a7-29faf6ad8e77","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":170000,"maxValue":190000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"e7034eb5-6607-4e29-aa19-1c21d52cd04b","title":"Firmware Engineer, Embedded Linux","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T17:32:23.988+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/e7034eb5-6607-4e29-aa19-1c21d52cd04b","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/e7034eb5-6607-4e29-aa19-1c21d52cd04b/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Build the embedded Linux software that turns cameras and sensors into recording systems people can use every day. Your work will preserve the timing and integrity of the data that Mecka collects for robot learning, from the first board bring-up through years of operation.
Bring depth in camera systems or device platforms. You will solve problems close to the hardware, where throughput, power, storage, and recovery must work together through long recording sessions and interruptions.
Bring depth in at least one of these areas:
Camera systems: Linux drivers, capture and encoding, sensor synchronization, buffering, storage throughput, and sustained recording performance.
Device platforms: boot and system images, provisioning, device identity, remote updates, rollback, and recovery after interrupted installations.
Develop and debug embedded Linux software on real capture hardware, from board bring-up through deployment.
Build reliable services and data paths that preserve recordings through long sessions and interrupted operations.
Measure and improve system performance, power consumption, resource use, and recovery behavior.
Reproduce field failures with hardware and test engineers, and validate fixes across supported device configurations.
Strong C or C++ skills and proficiency in Python or shell scripting for embedded development.
Understanding of Linux processes, threads, memory management, I/O, filesystems, and system-level debugging.
Hands-on experience developing and troubleshooting software on ARM or comparable embedded hardware.
Ability to profile resource use and reason about concurrency, timing, data integrity, and failure recovery.
Experience building reproducible software releases and testing behavior under realistic hardware and operating conditions.
Experience with V4L2, GStreamer, camera ISPs, Yocto, Buildroot, signed updates, or hardware-in-the-loop testing.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nBuild the embedded Linux software that turns cameras and sensors into recording systems people can use every day. Your work will preserve the timing and integrity of the data that Mecka collects for robot learning, from the first board bring-up through years of operation.\n\nBring depth in camera systems or device platforms. You will solve problems close to the hardware, where throughput, power, storage, and recovery must work together through long recording sessions and interruptions.\n\n\nRELEVANT SPECIALIZATIONS\n\nBring depth in at least one of these areas:\n\n - Camera systems: Linux drivers, capture and encoding, sensor synchronization, buffering, storage throughput, and sustained recording performance.\n\n - Device platforms: boot and system images, provisioning, device identity, remote updates, rollback, and recovery after interrupted installations.\n\n\nWHAT YOU WILL DO\n\n - Develop and debug embedded Linux software on real capture hardware, from board bring-up through deployment.\n\n - Build reliable services and data paths that preserve recordings through long sessions and interrupted operations.\n\n - Measure and improve system performance, power consumption, resource use, and recovery behavior.\n\n - Reproduce field failures with hardware and test engineers, and validate fixes across supported device configurations.\n\n\nWHAT YOU BRING\n\n - Strong C or C++ skills and proficiency in Python or shell scripting for embedded development.\n\n - Understanding of Linux processes, threads, memory management, I/O, filesystems, and system-level debugging.\n\n - Hands-on experience developing and troubleshooting software on ARM or comparable embedded hardware.\n\n - Ability to profile resource use and reason about concurrency, timing, data integrity, and failure recovery.\n\n - Experience building reproducible software releases and testing behavior under realistic hardware and operating conditions.\n\n\nNICE TO HAVE\n\n - Experience with V4L2, GStreamer, camera ISPs, Yocto, Buildroot, signed updates, or hardware-in-the-loop testing.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$150K – CA$170K • Offers Equity","scrapeableCompensationSalarySummary":"CA$150K - CA$170K","compensationTiers":[{"id":"f8c6f3a9-d0aa-40a7-ac03-772e03c681b2","tierSummary":"CA$150K – CA$170K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"21a42967-09d5-4c5d-831a-8f0f8affab05","summary":"CA$150K – CA$170K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":170000},{"id":"dd4d3976-8b6a-4790-8b5b-2c4875b10acc","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":150000,"maxValue":170000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"6c29c263-ac2a-4adb-834c-d616de0cecb2","title":"Senior Software Engineer, Device & Data Platform","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-08T18:04:13.690+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/6c29c263-ac2a-4adb-834c-d616de0cecb2","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/6c29c263-ac2a-4adb-834c-d616de0cecb2/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll own the software that lets people operate Mecka's connected hardware and use the data it produces. That includes services and operational tools for our device teams, and APIs and SDKs for customers building with our hardware and data. You'll be responsible for service and API design, data integrity, production reliability, and compatibility across device and customer workflows. As data collection grows, these systems need to stay understandable and dependable, especially when devices disconnect, transfers stop, or services fail.
What You'll Do
Own service and API design for connected hardware and data-intensive workflows, including the data models behind them.
Keep data accurate and complete, and keep production services reliable, across device and customer workflows.
Build telemetry, diagnostics, and operational tools that help engineers understand how devices and services are behaving.
Develop APIs, SDKs, and command-line tools that help hardware and data customers integrate Mecka into their workflows.
Implement asynchronous workflows that handle retries, duplicate events, and interrupted transfers predictably.
Test complete user workflows end to end, and maintain documentation, monitoring, and backward compatibility as the platform evolves.
What You Bring
Must-have:
5+ years of software engineering experience, including strong backend programming and operating production services in a language such as Python, Go, or TypeScript.
Depth in at least one of these areas:
Service reliability: telemetry, monitoring, diagnostics, and operational tooling for distributed systems.
Developer experience: APIs, SDKs, command-line tools, documentation, and useful examples.
Experience designing APIs, data schemas, and databases, with practical knowledge of SQL and query performance.
Understanding of how distributed systems fail, including retries, duplicate events, interrupted transfers, and intermittent connectivity.
Knowledge of authentication, authorization, automated testing, versioning, and release practices.
Ability to debug across services, client software, and device interfaces, and to explain system behavior clearly.
Nice-to-have:
Experience with connected hardware or operational web applications.
Experience building public SDKs or working with large video and sensor datasets.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll own the software that lets people operate Mecka's connected hardware and use the data it produces. That includes services and operational tools for our device teams, and APIs and SDKs for customers building with our hardware and data. You'll be responsible for service and API design, data integrity, production reliability, and compatibility across device and customer workflows. As data collection grows, these systems need to stay understandable and dependable, especially when devices disconnect, transfers stop, or services fail.\n\nWhat You'll Do\n\n - Own service and API design for connected hardware and data-intensive workflows, including the data models behind them.\n\n - Keep data accurate and complete, and keep production services reliable, across device and customer workflows.\n\n - Build telemetry, diagnostics, and operational tools that help engineers understand how devices and services are behaving.\n\n - Develop APIs, SDKs, and command-line tools that help hardware and data customers integrate Mecka into their workflows.\n\n - Implement asynchronous workflows that handle retries, duplicate events, and interrupted transfers predictably.\n\n - Test complete user workflows end to end, and maintain documentation, monitoring, and backward compatibility as the platform evolves.\n\nWhat You Bring\n\nMust-have:\n\n - 5+ years of software engineering experience, including strong backend programming and operating production services in a language such as Python, Go, or TypeScript.\n\n - Depth in at least one of these areas:\n \n - Service reliability: telemetry, monitoring, diagnostics, and operational tooling for distributed systems.\n \n - Developer experience: APIs, SDKs, command-line tools, documentation, and useful examples.\n\n - Experience designing APIs, data schemas, and databases, with practical knowledge of SQL and query performance.\n\n - Understanding of how distributed systems fail, including retries, duplicate events, interrupted transfers, and intermittent connectivity.\n\n - Knowledge of authentication, authorization, automated testing, versioning, and release practices.\n\n - Ability to debug across services, client software, and device interfaces, and to explain system behavior clearly.\n\nNice-to-have:\n\n - Experience with connected hardware or operational web applications.\n\n - Experience building public SDKs or working with large video and sensor datasets.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$180K – CA$210K","scrapeableCompensationSalarySummary":"CA$180K - CA$210K","compensationTiers":[{"id":"df8e2518-951b-49dd-a9eb-18e5a046f540","tierSummary":"CA$180K – CA$210K","title":null,"additionalInformation":null,"components":[{"id":"f5fd1db2-2a71-4543-b26c-70b8a47eb787","summary":"CA$180K – CA$210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":210000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":180000,"maxValue":210000}]}},{"id":"1572eb98-6a60-4a73-a3d3-2947b10dae47","title":"Software Engineer, Android","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T18:21:47.732+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/1572eb98-6a60-4a73-a3d3-2947b10dae47","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/1572eb98-6a60-4a73-a3d3-2947b10dae47/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll make Mecka's capture hardware practical for the people recording the real world. You'll build the Android applications that connect our devices, guide recording, and show users their progress and how to recover when something goes wrong. The work sits where physical hardware, mobile software and everyday use meet. Getting it right across many phones and operating conditions helps more people contribute high-quality data for robot learning.
What You'll Do
Build clear app workflows for connecting hardware and capturing data.
Integrate device interfaces and media capabilities into native Android software.
Design status displays and recovery flows so users stay on track through disconnections, permission changes and interrupted transfers.
Improve responsiveness, video performance, memory use and battery consumption across supported phones.
Add diagnostics, and work with firmware engineers to reproduce issues and test complete user workflows.
What You Bring
Must-have:
3–4 years of experience building and debugging native Android applications with connected hardware or media features on real devices, with strong Kotlin or Java skills.
A solid understanding of Android lifecycle, concurrency, permissions, background execution and networking.
The ability to design reliable app state that preserves user progress when connections or processes are interrupted.
Hands-on experience profiling and debugging performance, memory and connectivity on real Android devices.
The ability to build clear user interfaces and automated tests for important app workflows.
Nice-to-have:
Experience with USB host APIs, UVC cameras, MediaCodec, Camera2 or native C++ integration.
Experience with device provisioning, recording apps or large file transfers.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll make Mecka's capture hardware practical for the people recording the real world. You'll build the Android applications that connect our devices, guide recording, and show users their progress and how to recover when something goes wrong. The work sits where physical hardware, mobile software and everyday use meet. Getting it right across many phones and operating conditions helps more people contribute high-quality data for robot learning.\n\nWhat You'll Do\n\n - Build clear app workflows for connecting hardware and capturing data.\n\n - Integrate device interfaces and media capabilities into native Android software.\n\n - Design status displays and recovery flows so users stay on track through disconnections, permission changes and interrupted transfers.\n\n - Improve responsiveness, video performance, memory use and battery consumption across supported phones.\n\n - Add diagnostics, and work with firmware engineers to reproduce issues and test complete user workflows.\n\nWhat You Bring\n\nMust-have:\n\n - 3–4 years of experience building and debugging native Android applications with connected hardware or media features on real devices, with strong Kotlin or Java skills.\n\n - A solid understanding of Android lifecycle, concurrency, permissions, background execution and networking.\n\n - The ability to design reliable app state that preserves user progress when connections or processes are interrupted.\n\n - Hands-on experience profiling and debugging performance, memory and connectivity on real Android devices.\n\n - The ability to build clear user interfaces and automated tests for important app workflows.\n\nNice-to-have:\n\n - Experience with USB host APIs, UVC cameras, MediaCodec, Camera2 or native C++ integration.\n\n - Experience with device provisioning, recording apps or large file transfers.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$145K – CA$165K • Offers Equity","scrapeableCompensationSalarySummary":"CA$145K - CA$165K","compensationTiers":[{"id":"a7c6dba4-aadc-427a-bb62-b92fc14de7d1","tierSummary":"CA$145K – CA$165K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ef904b7c-1c31-4584-8c2a-b0630ad0c05f","summary":"CA$145K – CA$165K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":145000,"maxValue":165000},{"id":"1a9ed998-309c-45d4-8664-a2b5e81988a1","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":145000,"maxValue":165000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"085fe2ba-56f8-4428-afca-45d40338a835","title":"Robotics Systems Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T18:31:21.247+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/085fe2ba-56f8-4428-afca-45d40338a835","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/085fe2ba-56f8-4428-afca-45d40338a835/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll build the physical systems our researchers use to test what robots have learned. You'll bring robots, sensors, and software together for demonstrations, policy deployment, and experiments that the team can repeat and trust. Precise calibration, sound control, and careful debugging will connect Mecka's data to how robots behave on real hardware, so the team can tell a weakness in a learned policy apart from a problem in the system running it.
What You'll Do
Integrate robotics hardware and software for data collection and repeatable experiments.
Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.
Deploy perception models and learned policies on robots, and investigate how they perform on real tasks.
Build recording, teleoperation, and evaluation workflows with our robot-learning researchers.
Make systems more reliable through hardware debugging, software improvements, and clear recovery procedures.
What You Bring
Must-have:
3+ years of hands-on experience in robotics, mechatronics, or a closely related engineering field.
Strong Python and C++ skills, with practical experience developing on Linux.
Hands-on experience building, integrating, and debugging robotics or mechatronic systems.
A solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.
Experience with robot interfaces, control loops, and communication between software and physical hardware.
Ability to integrate perception or machine-learning models into a running robotic system.
A systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll build the physical systems our researchers use to test what robots have learned. You'll bring robots, sensors, and software together for demonstrations, policy deployment, and experiments that the team can repeat and trust. Precise calibration, sound control, and careful debugging will connect Mecka's data to how robots behave on real hardware, so the team can tell a weakness in a learned policy apart from a problem in the system running it.\n\nWhat You'll Do\n\n - Integrate robotics hardware and software for data collection and repeatable experiments.\n\n - Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.\n\n - Deploy perception models and learned policies on robots, and investigate how they perform on real tasks.\n\n - Build recording, teleoperation, and evaluation workflows with our robot-learning researchers.\n\n - Make systems more reliable through hardware debugging, software improvements, and clear recovery procedures.\n\nWhat You Bring\n\nMust-have:\n\n - 3+ years of hands-on experience in robotics, mechatronics, or a closely related engineering field.\n\n - Strong Python and C++ skills, with practical experience developing on Linux.\n\n - Hands-on experience building, integrating, and debugging robotics or mechatronic systems.\n\n - A solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.\n\n - Experience with robot interfaces, control loops, and communication between software and physical hardware.\n\n - Ability to integrate perception or machine-learning models into a running robotic system.\n\n - A systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.\n\n \n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$140K – CA$155K • Offers Equity","scrapeableCompensationSalarySummary":"CA$140K - CA$155K","compensationTiers":[{"id":"a78de6d8-f03f-4c4b-8ef2-95b6417814b2","tierSummary":"CA$140K – CA$155K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a3d5301d-172b-4d3c-b196-631816539e79","summary":"CA$140K – CA$155K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":140000,"maxValue":155000},{"id":"42c2c61f-a81b-4040-bb91-ba33cbc569df","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":140000,"maxValue":155000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7527890d-c415-4f11-8f3b-e58febc4c391","title":"Test & Reliability Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T18:37:50.305+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/7527890d-c415-4f11-8f3b-e58febc4c391","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/7527890d-c415-4f11-8f3b-e58febc4c391/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll prove that Mecka's capture hardware records the right data and keeps working through real use. You'll design the tests, fixtures, and automation that establish recording quality and release readiness across hardware and software. As data collection grows, your results will guide decisions about what is ready to deploy. The challenge is to expose subtle timing errors, data loss, and intermittent failures, then turn each finding into a test the team can run again.
What You'll Do
Build automated hardware tests that verify recording quality, performance, and recovery against clear requirements.
Test long recording sessions and fault conditions, including power loss, disconnects, full storage, and competing workloads.
Check recorded data for missing frames, timestamp errors, incomplete sensor streams, and corruption.
Reproduce failures, work with engineers to isolate the root cause, and turn each fix into a repeatable regression test.
Define release checks and qualification tests across supported hardware and software configurations.
What You Bring
Must-have:
3-4 years of strong Python or comparable scripting skills for test automation, data analysis, and reporting.
Experience testing embedded Linux, cameras, robotics, or connected hardware.
Ability to build and automate physical test fixtures, including device control and measurement.
Practical knowledge of Linux diagnostics, networking, logs, and system performance tools.
Skill in designing repeatable experiments and separating product failures from problems in the test setup.
Ability to analyze timing and recorded data, reproduce intermittent faults, and verify fixes under stress.
Nice-to-have:
Experience with camera pipelines, update fault testing, or continuous integration for hardware.
Experience with electrical failure analysis, environmental testing, or repair qualification.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll prove that Mecka's capture hardware records the right data and keeps working through real use. You'll design the tests, fixtures, and automation that establish recording quality and release readiness across hardware and software. As data collection grows, your results will guide decisions about what is ready to deploy. The challenge is to expose subtle timing errors, data loss, and intermittent failures, then turn each finding into a test the team can run again.\n\nWhat You'll Do\n\n - Build automated hardware tests that verify recording quality, performance, and recovery against clear requirements.\n\n - Test long recording sessions and fault conditions, including power loss, disconnects, full storage, and competing workloads.\n\n - Check recorded data for missing frames, timestamp errors, incomplete sensor streams, and corruption.\n\n - Reproduce failures, work with engineers to isolate the root cause, and turn each fix into a repeatable regression test.\n\n - Define release checks and qualification tests across supported hardware and software configurations.\n\nWhat You Bring\n\nMust-have:\n\n - 3-4 years of strong Python or comparable scripting skills for test automation, data analysis, and reporting.\n\n - Experience testing embedded Linux, cameras, robotics, or connected hardware.\n\n - Ability to build and automate physical test fixtures, including device control and measurement.\n\n - Practical knowledge of Linux diagnostics, networking, logs, and system performance tools.\n\n - Skill in designing repeatable experiments and separating product failures from problems in the test setup.\n\n - Ability to analyze timing and recorded data, reproduce intermittent faults, and verify fixes under stress.\n\nNice-to-have:\n\n - Experience with camera pipelines, update fault testing, or continuous integration for hardware.\n\n - Experience with electrical failure analysis, environmental testing, or repair qualification.\n\n \n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$155K – CA$175K","scrapeableCompensationSalarySummary":"CA$155K - CA$175K","compensationTiers":[{"id":"c5684b94-9c40-4181-84d9-1b9550f1e394","tierSummary":"CA$155K – CA$175K","title":null,"additionalInformation":null,"components":[{"id":"9276a484-768b-4508-a6ff-48a75eea861c","summary":"CA$155K – CA$175K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":155000,"maxValue":175000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":155000,"maxValue":175000}]}},{"id":"f157f968-6b89-4a8e-87d9-14681ad9e515","title":"Mechanical Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Toronto GTA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T18:45:12.538+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/f157f968-6b89-4a8e-87d9-14681ad9e515","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/f157f968-6b89-4a8e-87d9-14681ad9e515/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The Role
You'll carry mechanical parts and assemblies from CAD through prototype testing and supplier feedback. Accurate recording outside the lab depends on hardware that holds sensors in alignment, survives repeated use, stays comfortable, and manages heat, and you'll turn those requirements into designs that can be built, maintained, and used in the field. Your work will shape how Mecka's capture systems perform in people's hands.
What You'll Do
Design mechanical systems that support accurate recording and can be assembled, maintained, and manufactured efficiently.
Build and test prototypes to improve fit, weight distribution, stiffness, and ease of use.
Analyze tolerances, loads, and sensor alignment, and validate key assumptions with physical measurements.
Partner with electrical and sensor engineers on packaging, thermal paths, cable routing, and service access.
Review parts with suppliers and refine designs using assembly results, reliability testing, and field feedback.
What You Bring
Must-have:
3–4 years of experience in mechanical engineering.
Proficiency in 3D CAD (e.g., SolidWorks or Onshape) and the ability to produce clear engineering drawings.
Solid understanding of mechanics, materials, tolerances, fits, fasteners, and dimensional inspection.
Hands-on experience building prototypes and testing physical assemblies.
Knowledge of manufacturing processes such as machining, molding, sheet metal, or additive manufacturing.
Ability to package electronics and sensors with assembly, thermal behavior, and maintenance in mind.
Experience working with suppliers to resolve part quality, manufacturability, and cost issues.
Nice-to-have:
Experience with wearable products, robot end effectors, handheld mechanisms, or precision sensor mounts.
Experience with flexible materials, thermal analysis, or fatigue and durability testing.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nThe Role\nYou'll carry mechanical parts and assemblies from CAD through prototype testing and supplier feedback. Accurate recording outside the lab depends on hardware that holds sensors in alignment, survives repeated use, stays comfortable, and manages heat, and you'll turn those requirements into designs that can be built, maintained, and used in the field. Your work will shape how Mecka's capture systems perform in people's hands.\n\nWhat You'll Do\n\n - Design mechanical systems that support accurate recording and can be assembled, maintained, and manufactured efficiently.\n\n - Build and test prototypes to improve fit, weight distribution, stiffness, and ease of use.\n\n - Analyze tolerances, loads, and sensor alignment, and validate key assumptions with physical measurements.\n\n - Partner with electrical and sensor engineers on packaging, thermal paths, cable routing, and service access.\n\n - Review parts with suppliers and refine designs using assembly results, reliability testing, and field feedback.\n\nWhat You Bring\n\nMust-have:\n\n - 3–4 years of experience in mechanical engineering.\n\n - Proficiency in 3D CAD (e.g., SolidWorks or Onshape) and the ability to produce clear engineering drawings.\n\n - Solid understanding of mechanics, materials, tolerances, fits, fasteners, and dimensional inspection.\n\n - Hands-on experience building prototypes and testing physical assemblies.\n\n - Knowledge of manufacturing processes such as machining, molding, sheet metal, or additive manufacturing.\n\n - Ability to package electronics and sensors with assembly, thermal behavior, and maintenance in mind.\n\n - Experience working with suppliers to resolve part quality, manufacturability, and cost issues.\n\nNice-to-have:\n\n - Experience with wearable products, robot end effectors, handheld mechanisms, or precision sensor mounts.\n\n - Experience with flexible materials, thermal analysis, or fatigue and durability testing.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"CA$140K – CA$160K • Offers Equity","scrapeableCompensationSalarySummary":"CA$140K - CA$160K","compensationTiers":[{"id":"24aab6ec-da38-47d1-a033-792bd5594eb9","tierSummary":"CA$140K – CA$160K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"47156006-2a14-4243-a14b-d9257583dbd2","summary":"CA$140K – CA$160K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":140000,"maxValue":160000},{"id":"bb26b280-b160-428a-9a9e-64bf6aac360e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":140000,"maxValue":160000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"2c75ff82-1aab-455b-ade1-a20e68740823","title":"Software Developer, Robotic Data & Deliveries","department":"Sales & Customer Delivery","team":"Delivery","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Toronto GTA","address":{"postalAddress":{"addressRegion":"ON","addressCountry":"Canada","addressLocality":"Richmond Hill"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-30T19:33:12.356+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/2c75ff82-1aab-455b-ade1-a20e68740823","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/2c75ff82-1aab-455b-ade1-a20e68740823/application","descriptionHtml":"Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We are hiring a Software Developer to build — end to end — the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier AI labs. This is a 0→1 role: you’ll take a rough delivery problem, design the interface and the system behind it, ship a first version fast, and iterate with the people using it.
You’ll own whole surfaces rather than a single layer — the review and QA UIs our labeling and delivery teams live in, the dashboards sales uses to track a delivery, the export and validation logic underneath, and the data plumbing that ties it together. Front-end one week, data pipeline the next, a scrappy internal tool the week after.
You’ll work hand-in-hand with the Delivery Operations team — including our Robotic Data & Deliveries TPM — turning recurring delivery pain into products people actually want to use. When a workflow is slow, manual, or fragile, you’re the one who builds the thing that fixes it.
Ideal background: full-stack or product engineering with a track record of building tools and products 0→1. Comfort with data and large-dataset systems is a strong plus, but breadth, product sense, and speed matter more than depth in any one stack.
Internal Products & Delivery Tooling
• Design and build the internal products our teams use every day — dataset review and QA interfaces, delivery-tracking dashboards, data viewers, and the workflows that string them together — owning both the UI and the logic behind it.
• Turn one-off scripts and manual steps into real tools with a usable interface, so delivery, sales, labeling, and QA move faster without engineering babysitting.
0→1 Product Building
• Take fuzzy problems from a conversation to a shipped v1 quickly, then iterate with real users — internal teams today, and the experience AI-lab customers touch when they receive a delivery.
• Make pragmatic build-vs-buy and scope calls; ship the 80% that unblocks people now and harden it as it proves out.
Data & Platform Plumbing
• Build the pipelines and APIs that package, validate, index, and serve ego datasets — the systems that make petabyte-scale video and sensor data usable for delivery, labeling, QA, and model training.
• Keep the tools you ship reliable and honest about data quality, so problems get caught before a dataset reaches a customer.
• 3+ years building software as a full-stack or product engineer (or equivalent impact) — you’re comfortable owning a feature from UI to data.
• Fluent in a modern front-end stack (e.g., TypeScript/React) and at least one backend language (e.g., Python, Node, Go).
• A demonstrated 0→1 builder — you’ve taken tools or products from nothing to in-use, and you thrive in ambiguity without a detailed spec.
• Strong product sense and a bias to ship: you scope ruthlessly, get a v1 in front of users, and iterate.
• Comfortable working directly with data — querying databases (e.g., SQL, MongoDB) and reshaping or validating datasets.
• You’ve been an early or founding engineer, built internal tools teams loved, or shipped side projects end to end.
• You have real UX/design instincts — your tools are fast, clear, and pleasant to use, not just functional.
• You think in terms of the user, clean interfaces, and shipping — and you write maintainable code with strong ownership.
• Exposure to video/media or large-dataset systems (ingestion, storage, metadata/search, ETL) is a plus, not a requirement.
• Own real surface area from day one — build the products that power petabyte-scale robotics datasets and the deliveries frontier AI labs depend on.
• Maximum breadth: front-end, back-end, data, and product, on problems that are still greenfield.
• High ownership and direct impact across delivery, operations, sales, and research — paired tightly with the TPM who owns the delivery programs you build for.
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
","descriptionPlain":"ABOUT MECKA AI\n\nMecka AI is building the data infrastructure layer for robotics and embodied AI.\nWe design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nTHE ROLE\n\nWe are hiring a Software Developer to build — end to end — the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier AI labs. This is a 0→1 role: you’ll take a rough delivery problem, design the interface and the system behind it, ship a first version fast, and iterate with the people using it.\n\nYou’ll own whole surfaces rather than a single layer — the review and QA UIs our labeling and delivery teams live in, the dashboards sales uses to track a delivery, the export and validation logic underneath, and the data plumbing that ties it together. Front-end one week, data pipeline the next, a scrappy internal tool the week after.\n\nYou’ll work hand-in-hand with the Delivery Operations team — including our Robotic Data & Deliveries TPM — turning recurring delivery pain into products people actually want to use. When a workflow is slow, manual, or fragile, you’re the one who builds the thing that fixes it.\n\nIdeal background: full-stack or product engineering with a track record of building tools and products 0→1. Comfort with data and large-dataset systems is a strong plus, but breadth, product sense, and speed matter more than depth in any one stack.\n\n\n\n\nWHAT YOU WILL BE DOING:\n\nInternal Products & Delivery Tooling\n\n• Design and build the internal products our teams use every day — dataset review and QA interfaces, delivery-tracking dashboards, data viewers, and the workflows that string them together — owning both the UI and the logic behind it.\n\n• Turn one-off scripts and manual steps into real tools with a usable interface, so delivery, sales, labeling, and QA move faster without engineering babysitting.\n\n0→1 Product Building\n\n• Take fuzzy problems from a conversation to a shipped v1 quickly, then iterate with real users — internal teams today, and the experience AI-lab customers touch when they receive a delivery.\n\n• Make pragmatic build-vs-buy and scope calls; ship the 80% that unblocks people now and harden it as it proves out.\n\nData & Platform Plumbing\n\n• Build the pipelines and APIs that package, validate, index, and serve ego datasets — the systems that make petabyte-scale video and sensor data usable for delivery, labeling, QA, and model training.\n\n• Keep the tools you ship reliable and honest about data quality, so problems get caught before a dataset reaches a customer.\n\n\n\n\nWHO YOU ARE\n\n• 3+ years building software as a full-stack or product engineer (or equivalent impact) — you’re comfortable owning a feature from UI to data.\n\n• Fluent in a modern front-end stack (e.g., TypeScript/React) and at least one backend language (e.g., Python, Node, Go).\n\n• A demonstrated 0→1 builder — you’ve taken tools or products from nothing to in-use, and you thrive in ambiguity without a detailed spec.\n\n• Strong product sense and a bias to ship: you scope ruthlessly, get a v1 in front of users, and iterate.\n\n• Comfortable working directly with data — querying databases (e.g., SQL, MongoDB) and reshaping or validating datasets.\n\n\n\n\nEVEN BETTER IF YOU HAVE:\n\n• You’ve been an early or founding engineer, built internal tools teams loved, or shipped side projects end to end.\n\n• You have real UX/design instincts — your tools are fast, clear, and pleasant to use, not just functional.\n\n• You think in terms of the user, clean interfaces, and shipping — and you write maintainable code with strong ownership.\n\n• Exposure to video/media or large-dataset systems (ingestion, storage, metadata/search, ETL) is a plus, not a requirement.\n\n\n\n\nWHY THIS ROLE\n\n• Own real surface area from day one — build the products that power petabyte-scale robotics datasets and the deliveries frontier AI labs depend on.\n\n• Maximum breadth: front-end, back-end, data, and product, on problems that are still greenfield.\n\n• High ownership and direct impact across delivery, operations, sales, and research — paired tightly with the TPM who owns the delivery programs you build for.\n\n\nA NOTE ON APPLYING\n\nStudies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.\n\nInclusive Hiring at Mecka\n\nWe are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.\n\nUse of Artificial Intelligence in Recruitment\n\nMecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.","compensation":{"compensationTierSummary":"$150K – $200K","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"e51ecdc9-bf20-4ce8-b9e5-15b3a0d26ccf","tierSummary":"$150K – $200K","title":null,"additionalInformation":null,"components":[{"id":"4c4301f4-18a8-4370-8eab-31212b13f792","summary":"$150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}}],"apiVersion":"1"}