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 partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality.
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.
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.\n\n\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 partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality.\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\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\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."},{"id":"481df81c-8dbc-4825-b57a-6d6fd0951da5","title":"Senior Product Engineer ","department":"Platform Engineering & Infrastructure","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"New York","secondaryLocations":[],"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.
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality.
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.
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.\n\n\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 partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality.\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\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."},{"id":"ede6ccfb-b5a5-413e-97c5-255ec9a05331","title":"Application / Platform Engineer (Web + SDK)","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"Toronto","secondaryLocations":[],"publishedAt":"2026-06-01T12:58:36.451+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Markham"}},"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.
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 and robotics teams. Our operations span multiple countries, with contributors, partners, and customers across North America and Asia.
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.
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.
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.\n\n\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\n\nABOUT MECKA\n\nMecka 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 and robotics teams. Our operations span multiple countries, with contributors, partners, and customers across North America and Asia.\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\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\nRESPONSIBILITIES\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\nMINIMUM QUALIFICATIONS\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\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."},{"id":"7617ec0c-f0b2-45a8-bd6b-ded57fa2222a","title":"Strategic Project Lead ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-01T12:03:09.131+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/7617ec0c-f0b2-45a8-bd6b-ded57fa2222a","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/7617ec0c-f0b2-45a8-bd6b-ded57fa2222a/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 design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI and robotics teams. Our work sits at the intersection of software, operations, and real-world execution — where reliability, speed, and quality all matter.
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 a Strategic Project Lead to own high-priority projects end-to-end across Mecka’s operations and customer workstreams.
This is a high-agency, generalist role. You will take ownership of projects from initial request → scoping → execution → delivery, working across functions such as data labeling, data capture, and customer deployments.
You’ll partner closely with operations, engineering, and customers to ensure projects are delivered on time, at quality, and at scale.
This role is ideal for someone with strong product sense and execution ability, who can take ambiguous problems and turn them into structured, high-performing systems.
Own projects from request to delivery and completion
Scope requirements, define timelines, and drive execution
Ensure deliverables meet quality, timeline, and customer expectations
Identify risks early and proactively resolve blockers
Work across:
Data labeling operations
Data capture workflows
Engineering teams
Customer stakeholders
Coordinate execution across teams with different priorities and constraints
Ensure alignment between product, operations, and engineering
Monitor and improve throughput, timelines, and output quality
Track project performance and ensure SLAs are consistently met
Identify bottlenecks and drive operational improvements
Ensure projects scale effectively as volume increases
Translate ambiguous requests into clear execution plans and systems
Apply strong product judgment to prioritize what matters most
Improve workflows and systems to increase efficiency and reliability
Balance speed, quality, and cost in decision-making
Serve as the primary owner of project communication
Manage expectations with internal teams and external customers
Ensure transparency around timelines, risks, and deliverables
1–3 years of experience in product, operations, consulting, or program management
Proven ability to own projects end-to-end
Experience working cross-functionally with engineering and operations teams
Strong organizational and execution skills
Comfortable working with data in spreadsheets and modern AI tools to analyze program performance
Excellent communication and stakeholder management abilities
Experience in fast-paced startups or high-growth environments
Background in product management, consulting, or operations leadership
Experience managing complex, multi-team, high-stakes projects
Strong intuition for prioritization and tradeoffs
Experience working with technical teams and understanding system constraints
Highly capable and reliable — someone who gets things done
Structured in your thinking but flexible in execution
Comfortable operating in ambiguity and fast-changing environments
Product-minded, with strong judgment on what actually matters
Calm under pressure and able to manage multiple priorities simultaneously
Own critical, high-impact projects that directly affect company performance
Work across multiple functions and problem spaces
High visibility and direct exposure to leadership
Shape how Mecka executes and scales globally
Ideal role for someone who wants to operate at the intersection of product, operations, and execution
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.\n\n\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 design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI and robotics teams. Our work sits at the intersection of software, operations, and real-world execution — where reliability, speed, and quality all matter.\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 a Strategic Project Lead to own high-priority projects end-to-end across Mecka’s operations and customer workstreams.\n\nThis is a high-agency, generalist role. You will take ownership of projects from initial request → scoping → execution → delivery, working across functions such as data labeling, data capture, and customer deployments.\n\nYou’ll partner closely with operations, engineering, and customers to ensure projects are delivered on time, at quality, and at scale.\n\nThis role is ideal for someone with strong product sense and execution ability, who can take ambiguous problems and turn them into structured, high-performing systems.\n\n\nRESPONSIBILITIES\n\n\nEND-TO-END PROJECT OWNERSHIP\n\n - Own projects from request to delivery and completion\n\n - Scope requirements, define timelines, and drive execution\n\n - Ensure deliverables meet quality, timeline, and customer expectations\n\n - Identify risks early and proactively resolve blockers\n\n\nCROSS-FUNCTIONAL EXECUTION\n\n - Work across:\n \n - Data labeling operations\n \n - Data capture workflows\n \n - Engineering teams\n \n - Customer stakeholders\n\n - Coordinate execution across teams with different priorities and constraints\n\n - Ensure alignment between product, operations, and engineering\n\n\nTHROUGHPUT & DELIVERY MANAGEMENT\n\n - Monitor and improve throughput, timelines, and output quality\n\n - Track project performance and ensure SLAs are consistently met\n\n - Identify bottlenecks and drive operational improvements\n\n - Ensure projects scale effectively as volume increases\n\n\nPRODUCT THINKING & PROBLEM SOLVING\n\n - Translate ambiguous requests into clear execution plans and systems\n\n - Apply strong product judgment to prioritize what matters most\n\n - Improve workflows and systems to increase efficiency and reliability\n\n - Balance speed, quality, and cost in decision-making\n\n\nCUSTOMER & STAKEHOLDER MANAGEMENT\n\n - Serve as the primary owner of project communication\n\n - Manage expectations with internal teams and external customers\n\n - Ensure transparency around timelines, risks, and deliverables\n\n\nWHO YOU ARE\n\n\nREQUIRED EXPERIENCE\n\n - 1–3 years of experience in product, operations, consulting, or program management\n\n - Proven ability to own projects end-to-end\n\n - Experience working cross-functionally with engineering and operations teams\n\n - Strong organizational and execution skills\n\n - Comfortable working with data in spreadsheets and modern AI tools to analyze program performance\n\n - Excellent communication and stakeholder management abilities\n\n\nSTRONG SIGNALS\n\n - Experience in fast-paced startups or high-growth environments\n\n - Background in product management, consulting, or operations leadership\n\n - Experience managing complex, multi-team, high-stakes projects\n\n - Strong intuition for prioritization and tradeoffs\n\n - Experience working with technical teams and understanding system constraints\n\n\nYOU ARE\n\n - Highly capable and reliable — someone who gets things done\n\n - Structured in your thinking but flexible in execution\n\n - Comfortable operating in ambiguity and fast-changing environments\n\n - Product-minded, with strong judgment on what actually matters\n\n - Calm under pressure and able to manage multiple priorities simultaneously\n\n\nWHY THIS ROLE\n\n - Own critical, high-impact projects that directly affect company performance\n\n - Work across multiple functions and problem spaces\n\n - High visibility and direct exposure to leadership\n\n - Shape how Mecka executes and scales globally\n\n - Ideal role for someone who wants to operate at the intersection of product, operations, and execution\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."},{"id":"d2c9e10f-4b56-4204-908c-b14cde6852b5","title":"Tactile Gloves Program Lead","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"Shenzhen","secondaryLocations":[],"publishedAt":"2026-06-01T13:03:56.424+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"China"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/d2c9e10f-4b56-4204-908c-b14cde6852b5","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/d2c9e10f-4b56-4204-908c-b14cde6852b5/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 design and operate hardware-enabled data capture systems and the pipelines that turn real-world signals into training data for frontier models.
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.
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.
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.\n\n\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 design and operate hardware-enabled data capture systems and the pipelines that turn real-world signals into training data for frontier models.\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\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\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\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."},{"id":"e587699a-8052-49cd-9306-ff1d8490bdad","title":"Executive Assistant & Office Manager","department":"Corporate Admin, Finance & Accounting","team":"Corporate Admin, Finance & Accounting","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-01T14:36:28.638+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
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.\n\n\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\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."},{"id":"0b643711-1c52-47ef-9eda-132525794669","title":"Head of Legal & Compliance ","department":"Corporate Admin, Finance & Accounting","team":"Corporate Admin, Finance & Accounting","employmentType":"FullTime","location":"Toronto","secondaryLocations":[],"publishedAt":"2026-06-01T13:11:04.421+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Markham"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/0b643711-1c52-47ef-9eda-132525794669","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/0b643711-1c52-47ef-9eda-132525794669/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 and deployment infrastructure for embodied intelligence. We collect, curate, and license the world's most useful robotics training data to leading AI labs, and we deploy real robotic systems with enterprise customers across hospitality, retail, QSR, pharmacy, logistics, and healthcare. We work with the foundation model teams shaping the next decade of robotics, and with the operators running real businesses today. Quality, trust, and execution are core to our partnerships.
We're hiring a Head of Legal & Compliance to own Mecka's privacy, commercial, employment, and regulatory operating layer across Canada, the US, and China. This is the most accurate title because the role is broader than privacy alone and more legal/commercial than a pure people-operations or HR compliance seat.
You will be the internal owner for data privacy, customer agreements, employment contracts, outside counsel, and AI/robotics compliance risk. You do not need to be a traditional big-company general counsel, but you must be legally trained, commercially sharp, and comfortable building practical compliance systems inside a fast-moving robotics and AI company.
Privacy framework: Own Mecka's privacy program across PIPEDA, GDPR, customer contractual privacy obligations, and practical data handling requirements.
Data licensing controls: Build the review process for robotics training data licensing, dataset provenance, permitted use, retention, deletion, and onward transfer obligations.
Customer privacy diligence: Lead privacy and data-protection responses for AI labs, enterprise customers, and procurement teams.
Internal governance: Create usable policies for data access, vendor handling, employee access, customer data, deployment data, and audit readiness.
AI lab agreements: Support and negotiate data licensing agreements with foundation model teams and AI labs, including usage rights, exclusivity, confidentiality, indemnities, and compliance obligations.
Deployment contracts: Own the legal operating layer for robot deployment MSAs, statements of work, SLAs, support terms, acceptance criteria, and customer site requirements.
Commercial judgment: Help the business distinguish legal risk that matters from language that can be solved with a practical fallback.
Contract process: Build lightweight contracting playbooks, clause libraries, approval paths, and negotiation standards that speed up revenue instead of slowing it down.
Employment contracts: Own employment contract templates, offer documentation, contractor agreements, and employment compliance across Canada, the US, and China.
Cross-geo coordination: Partner with leadership on entity, EOR, contractor, confidentiality, invention assignment, and termination workflows across Mecka's operating geographies.
People-ops compliance: Build the compliance backbone for onboarding, policy acknowledgments, worker classification, documentation, and manager-facing employment guidance.
Practical escalation: Know when an issue requires outside counsel and when the business needs a clear recommendation now.
Counsel management: Manage outside law firm relationships across employment, commercial, IP, privacy, and China-specific matters.
Budget discipline: Keep legal spend focused, scoped, and accountable to business priorities.
Matter ownership: Translate business needs into tight legal workstreams, review counsel output, and turn legal advice into operational decisions.
Legal systems: Stand up the basic legal operations infrastructure: templates, trackers, repository, renewal calendar, approval workflows, and audit trails.
Regulatory monitoring: Track emerging AI, robotics, privacy, safety, and data-use regulation that affects Mecka's data licensing and deployment businesses.
Deployment risk: Partner with operations, hardware, software, and customer teams on site-level compliance issues, safety obligations, incident documentation, and customer requirements.
IP protection: Coordinate with counsel on IP ownership, invention assignment, confidentiality, trade secret handling, and customer-data boundaries.
Board-ready risk view: Maintain a clear view of legal and compliance risk that leadership can understand and act on.
Active bar admission: JD, LLB, or equivalent law degree, with active bar admission in Canada, the US, or both.
5+ years of practice: Five or more years of post-call legal practice, with a meaningful focus on corporate and commercial work.
Corporate & commercial depth: Hands-on experience drafting and negotiating commercial agreements — technology, data, SaaS, AI, robotics, enterprise services, vendor and partner contracts.
Employment & contractor work: Working fluency with employment contracts, contractor structures, confidentiality/IP agreements, and cross-border employment issues.
Operator mindset: You have worked close enough to a business that you know legal advice has to be usable, timely, and commercially grounded.
AI or data infrastructure exposure: Experience with AI labs, data licensing, marketplace compliance, workforce integrity, robotics, autonomy, or technical operations businesses.
Startup legal ownership: You have been the first or most senior internal legal/compliance operator at a venture-backed company, or you have effectively played that role from a firm or hybrid seat.
Cross-border range: Familiarity with Canada-US employment and privacy issues, with enough China exposure to manage local counsel effectively.
Regulatory pragmatism: You can build policies and controls that satisfy serious customers without importing enterprise bureaucracy too early.
Procurement fluency: You understand how enterprise buyers, security teams, privacy teams, and legal teams evaluate vendors.
Privacy and data protection: Direct experience with privacy and data protection programs, including PIPEDA, GDPR, or comparable regulatory regimes.
Commercial: You protect the company while helping deals close, hires start, and deployments go live.
Precise: You write clearly, read carefully, and do not lose important details in contract language or regulatory requirements.
Calm under ambiguity: You can make recommendations when the law is evolving, the facts are incomplete, and the business still needs to move.
High-trust: Founders, operators, customers, and outside counsel trust your judgment because you are direct and prepared.
Systems-minded: You turn recurring legal questions into templates, playbooks, workflows, and decision rules.
Own a company-critical function: You will build the legal and compliance foundation for a robotics and AI data company operating across customers, labs, and geographies.
Work on frontier issues: Data licensing, embodied AI, robotics deployment, privacy, and commercial contracting all meet in this seat.
Be close to revenue and operations: Your work will directly affect customer contracts, AI lab partnerships, deployments, hiring, and expansion.
Build without bureaucracy: You will create the controls Mecka needs while keeping the company fast, direct, and execution-oriented.
Shape trust at scale: You will help make Mecka the partner that customers, labs, employees, and regulators can rely on.
Privacy program is credible: Within 12 months, Mecka has a practical privacy and data governance program that can satisfy enterprise customers and AI lab diligence.
Contracts move faster: Commercial agreements, data licenses, deployment MSAs, and employment documents are handled through clear templates, playbooks, and approval paths.
Outside counsel is leveraged well: Law firms are used for specialized judgment, not unmanaged execution, and legal spend is visible and disciplined.
Cross-geo employment is cleaner: Canada, US, and China employment documentation, contractor structures, confidentiality, IP, and onboarding workflows are consistent and defensible.
Leadership has a real risk view: The executive team understands Mecka's privacy, commercial, employment, IP, AI, and robotics compliance risks and has concrete mitigation plans in motion.
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.\n\n\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 and deployment infrastructure for embodied intelligence. We collect, curate, and license the world's most useful robotics training data to leading AI labs, and we deploy real robotic systems with enterprise customers across hospitality, retail, QSR, pharmacy, logistics, and healthcare. We work with the foundation model teams shaping the next decade of robotics, and with the operators running real businesses today. Quality, trust, and execution are core to our partnerships.\n\n\nTHE ROLE\n\nWe're hiring a Head of Legal & Compliance to own Mecka's privacy, commercial, employment, and regulatory operating layer across Canada, the US, and China. This is the most accurate title because the role is broader than privacy alone and more legal/commercial than a pure people-operations or HR compliance seat.\n\nYou will be the internal owner for data privacy, customer agreements, employment contracts, outside counsel, and AI/robotics compliance risk. You do not need to be a traditional big-company general counsel, but you must be legally trained, commercially sharp, and comfortable building practical compliance systems inside a fast-moving robotics and AI company.\n\n\nWHAT YOU'LL OWN\n\n\nDATA PRIVACY & DATA GOVERNANCE\n\n - Privacy framework: Own Mecka's privacy program across PIPEDA, GDPR, customer contractual privacy obligations, and practical data handling requirements.\n\n - Data licensing controls: Build the review process for robotics training data licensing, dataset provenance, permitted use, retention, deletion, and onward transfer obligations.\n\n - Customer privacy diligence: Lead privacy and data-protection responses for AI labs, enterprise customers, and procurement teams.\n\n - Internal governance: Create usable policies for data access, vendor handling, employee access, customer data, deployment data, and audit readiness.\n\n\nCOMMERCIAL AGREEMENTS\n\n - AI lab agreements: Support and negotiate data licensing agreements with foundation model teams and AI labs, including usage rights, exclusivity, confidentiality, indemnities, and compliance obligations.\n\n - Deployment contracts: Own the legal operating layer for robot deployment MSAs, statements of work, SLAs, support terms, acceptance criteria, and customer site requirements.\n\n - Commercial judgment: Help the business distinguish legal risk that matters from language that can be solved with a practical fallback.\n\n - Contract process: Build lightweight contracting playbooks, clause libraries, approval paths, and negotiation standards that speed up revenue instead of slowing it down.\n\n\nEMPLOYMENT, PEOPLE OPS & GLOBAL COMPLIANCE\n\n - Employment contracts: Own employment contract templates, offer documentation, contractor agreements, and employment compliance across Canada, the US, and China.\n\n - Cross-geo coordination: Partner with leadership on entity, EOR, contractor, confidentiality, invention assignment, and termination workflows across Mecka's operating geographies.\n\n - People-ops compliance: Build the compliance backbone for onboarding, policy acknowledgments, worker classification, documentation, and manager-facing employment guidance.\n\n - Practical escalation: Know when an issue requires outside counsel and when the business needs a clear recommendation now.\n\n\nOUTSIDE COUNSEL & LEGAL OPERATIONS\n\n - Counsel management: Manage outside law firm relationships across employment, commercial, IP, privacy, and China-specific matters.\n\n - Budget discipline: Keep legal spend focused, scoped, and accountable to business priorities.\n\n - Matter ownership: Translate business needs into tight legal workstreams, review counsel output, and turn legal advice into operational decisions.\n\n - Legal systems: Stand up the basic legal operations infrastructure: templates, trackers, repository, renewal calendar, approval workflows, and audit trails.\n\n\nAI, ROBOTICS & REGULATORY RISK\n\n - Regulatory monitoring: Track emerging AI, robotics, privacy, safety, and data-use regulation that affects Mecka's data licensing and deployment businesses.\n\n - Deployment risk: Partner with operations, hardware, software, and customer teams on site-level compliance issues, safety obligations, incident documentation, and customer requirements.\n\n - IP protection: Coordinate with counsel on IP ownership, invention assignment, confidentiality, trade secret handling, and customer-data boundaries.\n\n - Board-ready risk view: Maintain a clear view of legal and compliance risk that leadership can understand and act on.\n\n\nWHO YOU ARE\n\n\nREQUIRED BACKGROUND\n\n - Active bar admission: JD, LLB, or equivalent law degree, with active bar admission in Canada, the US, or both.\n\n - 5+ years of practice: Five or more years of post-call legal practice, with a meaningful focus on corporate and commercial work.\n\n - Corporate & commercial depth: Hands-on experience drafting and negotiating commercial agreements — technology, data, SaaS, AI, robotics, enterprise services, vendor and partner contracts.\n\n - Employment & contractor work: Working fluency with employment contracts, contractor structures, confidentiality/IP agreements, and cross-border employment issues.\n\n - Operator mindset: You have worked close enough to a business that you know legal advice has to be usable, timely, and commercially grounded.\n\n\nSTRONG SIGNALS\n\n - AI or data infrastructure exposure: Experience with AI labs, data licensing, marketplace compliance, workforce integrity, robotics, autonomy, or technical operations businesses.\n\n - Startup legal ownership: You have been the first or most senior internal legal/compliance operator at a venture-backed company, or you have effectively played that role from a firm or hybrid seat.\n\n - Cross-border range: Familiarity with Canada-US employment and privacy issues, with enough China exposure to manage local counsel effectively.\n\n - Regulatory pragmatism: You can build policies and controls that satisfy serious customers without importing enterprise bureaucracy too early.\n\n - Procurement fluency: You understand how enterprise buyers, security teams, privacy teams, and legal teams evaluate vendors.\n\n\nNICE TO HAVE\n\n - Privacy and data protection: Direct experience with privacy and data protection programs, including PIPEDA, GDPR, or comparable regulatory regimes.\n\n\nYOU ARE\n\n - Commercial: You protect the company while helping deals close, hires start, and deployments go live.\n\n - Precise: You write clearly, read carefully, and do not lose important details in contract language or regulatory requirements.\n\n - Calm under ambiguity: You can make recommendations when the law is evolving, the facts are incomplete, and the business still needs to move.\n\n - High-trust: Founders, operators, customers, and outside counsel trust your judgment because you are direct and prepared.\n\n - Systems-minded: You turn recurring legal questions into templates, playbooks, workflows, and decision rules.\n\n\nWHY THIS ROLE\n\n - Own a company-critical function: You will build the legal and compliance foundation for a robotics and AI data company operating across customers, labs, and geographies.\n\n - Work on frontier issues: Data licensing, embodied AI, robotics deployment, privacy, and commercial contracting all meet in this seat.\n\n - Be close to revenue and operations: Your work will directly affect customer contracts, AI lab partnerships, deployments, hiring, and expansion.\n\n - Build without bureaucracy: You will create the controls Mecka needs while keeping the company fast, direct, and execution-oriented.\n\n - Shape trust at scale: You will help make Mecka the partner that customers, labs, employees, and regulators can rely on.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Privacy program is credible: Within 12 months, Mecka has a practical privacy and data governance program that can satisfy enterprise customers and AI lab diligence.\n\n - Contracts move faster: Commercial agreements, data licenses, deployment MSAs, and employment documents are handled through clear templates, playbooks, and approval paths.\n\n - Outside counsel is leveraged well: Law firms are used for specialized judgment, not unmanaged execution, and legal spend is visible and disciplined.\n\n - Cross-geo employment is cleaner: Canada, US, and China employment documentation, contractor structures, confidentiality, IP, and onboarding workflows are consistent and defensible.\n\n - Leadership has a real risk view: The executive team understands Mecka's privacy, commercial, employment, IP, AI, and robotics compliance risks and has concrete mitigation plans in motion.\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."},{"id":"a2fb71b6-bb8e-4d7c-9f87-f537aa6b2114","title":"Forward Deployed Robotics Engineer ","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"New York","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.
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We work directly with robotics companies and AI teams to support real-world robot deployments and high-quality data capture, ensuring systems operate reliably in live environments and produce data suitable for training and evaluation.
Our work happens on the ground — in labs, factories, and deployment sites — where execution and technical judgment matter.
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 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
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.\n\n\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 companies and AI teams to support real-world robot deployments and high-quality data capture, ensuring systems operate reliably in live environments and produce data suitable for training and evaluation.\n\nOur work happens on the ground — in labs, factories, and deployment sites — where execution and technical judgment matter.\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 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\nRESPONSIBILITIES\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\nWHO YOU ARE\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\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."},{"id":"43669b6c-555d-4645-b828-7b1f3e4b86c6","title":"Research Scientist (Spatial AI & Neural Reconstruction)","department":"Research","team":"Research","employmentType":"FullTime","location":"New York","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.
Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems—where model performance is dictated by data quality.
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.
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.
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.
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.\n\n\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. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems—where model performance is dictated by data quality.\n\n\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\nWHO YOU ARE\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 - 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.\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\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."},{"id":"f7edbc80-267c-4da3-aa04-3c31f7f61100","title":"Operations Manager, Hardware Deployment","department":"Field Engineering & Operations","team":"Field Engineering & Operations","employmentType":"FullTime","location":"Shenzhen","secondaryLocations":[],"publishedAt":"2026-06-01T12:48:34.769+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"China"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/f7edbc80-267c-4da3-aa04-3c31f7f61100","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/f7edbc80-267c-4da3-aa04-3c31f7f61100/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 design, manufacture, and deploy camera systems, sensors, and data capture hardware that operate in real-world environments and power next-generation robotics and AI models. Our hardware is deployed globally, and execution across manufacturing, logistics, and deployment is critical to our success.
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 Operations Manager based in Shenzhen, China to own hardware operations, logistics, supplier relationships, and global deployments.
This is a hands-on operator role for someone who has worked close to hardware production and understands how things actually get built, shipped, and deployed. You will sit between our hardware engineering team, suppliers, and global partners to ensure hardware moves smoothly from factory → warehouse → deployment.
This role is execution-heavy and requires strong judgment, ownership, and follow-through.
Support production and rollout of cameras, sensors, and data capture equipment
Work closely with suppliers and manufacturers in China
Track production timelines, BOM changes, and build readiness
Identify risks and bottlenecks early and resolve them quickly
Own end-to-end logistics for shipping hardware to partner countries worldwide
Coordinate international shipping, customs, and import/export requirements
Optimize shipping timelines and costs across regions
Ensure hardware arrives on time and ready for deployment
Manage relationships with hardware suppliers, manufacturers, and vendors
Negotiate pricing, lead times, MOQs, and service agreements
Source new suppliers as needed to support scaling and redundancy
Maintain clear documentation and agreements with partners
Coordinate hardware readiness for deployments with field and ops teams
Communicate closely with the hardware engineering team on:
Build status
Design changes
Production issues
Support deployment logistics and on-the-ground execution when needed
Build and improve operational processes for:
Hardware tracking
Inventory management
Shipping workflows
Maintain clear documentation and reporting for leadership
Continuously improve speed, reliability, and cost efficiency
Proven experience in hardware operations, manufacturing, or supply chain
Hands-on experience working with hardware production in China
Strong understanding of:
Hardware logistics
International shipping
Supplier management
Experience coordinating with engineering teams on hardware builds and changes
A strong operator with a bias toward execution
Comfortable owning problems end-to-end
Highly organized and detail-oriented
Calm under pressure and able to manage multiple moving parts
Clear communicator between technical and non-technical teams
Experience supporting global hardware deployments
Familiarity with cameras, sensors, or electronics manufacturing
Experience negotiating supplier contracts and agreements
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.\n\n\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 design, manufacture, and deploy camera systems, sensors, and data capture hardware that operate in real-world environments and power next-generation robotics and AI models. Our hardware is deployed globally, and execution across manufacturing, logistics, and deployment is critical to our success.\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 Operations Manager based in Shenzhen, China to own hardware operations, logistics, supplier relationships, and global deployments.\n\nThis is a hands-on operator role for someone who has worked close to hardware production and understands how things actually get built, shipped, and deployed. You will sit between our hardware engineering team, suppliers, and global partners to ensure hardware moves smoothly from factory → warehouse → deployment.\n\nThis role is execution-heavy and requires strong judgment, ownership, and follow-through.\n\n\nWHAT YOU’LL WORK ON\n\n\nHARDWARE PRODUCTION & SUPPLY CHAIN\n\n - Support production and rollout of cameras, sensors, and data capture equipment\n\n - Work closely with suppliers and manufacturers in China\n\n - Track production timelines, BOM changes, and build readiness\n\n - Identify risks and bottlenecks early and resolve them quickly\n\n\nGLOBAL LOGISTICS & SHIPPING\n\n - Own end-to-end logistics for shipping hardware to partner countries worldwide\n\n - Coordinate international shipping, customs, and import/export requirements\n\n - Optimize shipping timelines and costs across regions\n\n - Ensure hardware arrives on time and ready for deployment\n\n\nSUPPLIER MANAGEMENT & NEGOTIATION\n\n - Manage relationships with hardware suppliers, manufacturers, and vendors\n\n - Negotiate pricing, lead times, MOQs, and service agreements\n\n - Source new suppliers as needed to support scaling and redundancy\n\n - Maintain clear documentation and agreements with partners\n\n\nDEPLOYMENT & CROSS-TEAM COORDINATION\n\n - Coordinate hardware readiness for deployments with field and ops teams\n\n - Communicate closely with the hardware engineering team on:\n \n - Build status\n \n - Design changes\n \n - Production issues\n\n - Support deployment logistics and on-the-ground execution when needed\n\n\nPROCESS & OPERATIONAL EXCELLENCE\n\n - Build and improve operational processes for:\n \n - Hardware tracking\n \n - Inventory management\n \n - Shipping workflows\n\n - Maintain clear documentation and reporting for leadership\n\n - Continuously improve speed, reliability, and cost efficiency\n\n\nWHO YOU ARE\n\n\nREQUIRED EXPERIENCE\n\n - Proven experience in hardware operations, manufacturing, or supply chain\n\n - Hands-on experience working with hardware production in China\n\n - Strong understanding of:\n \n - Hardware logistics\n \n - International shipping\n \n - Supplier management\n\n - Experience coordinating with engineering teams on hardware builds and changes\n\n\nYOU ARE\n\n - A strong operator with a bias toward execution\n\n - Comfortable owning problems end-to-end\n\n - Highly organized and detail-oriented\n\n - Calm under pressure and able to manage multiple moving parts\n\n - Clear communicator between technical and non-technical teams\n\n\nSTRONG PLUS\n\n - Experience supporting global hardware deployments\n\n - Familiarity with cameras, sensors, or electronics manufacturing\n\n - Experience negotiating supplier contracts and agreements\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."},{"id":"1f1cd5ed-4cad-44df-9824-8e15a37a315b","title":"Research Scientist – Computer Vision (Hand Tracking & Manipulation)","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-15T03:54:06.135+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/1f1cd5ed-4cad-44df-9824-8e15a37a315b","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/1f1cd5ed-4cad-44df-9824-8e15a37a315b/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 partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems—where model performance is dictated by data quality.
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.
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.
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.
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.\n\n\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. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems—where model performance is dictated by data quality.\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\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\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\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."},{"id":"bd139b88-cd51-458b-8b6c-44ee9a2751b4","title":"Computer Vision & Robotics Navigation Engineer","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-15T03:55:34.735+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/bd139b88-cd51-458b-8b6c-44ee9a2751b4","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/bd139b88-cd51-458b-8b6c-44ee9a2751b4/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 with leading robotics companies and AI labs to collect, label, and validate the large-scale, real-world visual and spatial data used to train perception, manipulation, and control systems. Our work sits directly in the loop between raw sensor data, labeling pipelines, and deployed models.
We are looking for a highly hands-on and product-oriented Computer Vision & Robotics Navigation Engineer to help us build the internal systems, algorithms, and tools that power our robotics data platform. Because this role involves hands-on testing, debugging, and local prototyping with our custom multi-sensor camera rigs, this is an on-site position based in our New York City office.
In this role, you will be the primary owner responsible for maintaining and improving our numerous SLAM and SfM systems across a variety of devices, including our custom camera rigs and iPhones. You will be deeply involved in the practical side of spatial computing—handling IMU noise modeling, sensor synchronization, and collaborating closely with our hardware team in China to ensure rigorous camera and sensor calibrations.
Beyond your core navigation focus, you will also act as the central hub for general computer vision support throughout the company. If you are passionate about multi-view geometry, enjoy building custom tooling to visualize complex trajectories, care deeply about data quality, and want your work to directly impact real robots—this role is for you.
Own the Navigation Systems: Act as the main engineer responsible for maintaining, optimizing, and improving our multiple SLAM and Structure from Motion (SfM) pipelines.
Sensor Calibration & Hardware Collaboration: Define, validate, and troubleshoot rigorous intrinsic and extrinsic calibration requirements for multi-camera setups and IMUs. You will communicate continuously with our hardware team in China—where the physical calibrations take place—while managing the algorithmic challenges of hardware-based SLAM locally, including temporal synchronization, rolling shutter correction, and IMU pre-integration.
Cross-Device Optimization: Ensure our spatial computing algorithms run robustly and accurately across a variety of hardware profiles, specifically our custom camera hardware and mobile devices (iOS/iPhone).
Company-Wide CV Support: Provide general computer vision expertise and support to various internal teams, assisting with pre- and post-processing, data validation, and automated labeling.
Design Internal Tooling: Ship custom tools (like Gradio or Rerun) to visualize images, video, 3D point clouds, and trajectories.
Debug & Inspect: Create interactive interfaces that help operations, annotators, and researchers inspect failure cases, understand edge conditions, and identify spatial labeling errors.
Deep Navigation Expertise: A strong background in 3D computer vision and multi-view geometry, with proven experience building, maintaining, or improving SLAM, VIO, and SfM pipelines.
Practical SLAM & Calibration Skills: Deep knowledge of IMU kinematics (noise density, random walk biases) and rigorous camera calibration techniques (checkerboard/AprilTag targets, lens distortion models), with the ability to effectively communicate these technical requirements to cross-border hardware teams.
Hardware Familiarity: Experience working with spatial data from diverse hardware sources, such as custom camera rigs and mobile devices (iOS/iPhone).
Mathematical Fundamentals: An intuitive grasp of linear algebra, optimization, and the first principles of traditional CV and spatial tracking.
Engineering Rigor: A proven track record of software development expertise, consistently delivering high-quality, clean, efficient, and scalable code (especially in C++ and Python).
Adaptability: Comfortable iterating with users, bridging communication across time zones, supporting company-wide CV needs, and working alongside noisy, unstructured, real-world sensor data.
Hands-on experience building CV/spatial tooling or apps such as dataset browsers, annotation tools, model debugging dashboards, or Gradio-style demos.
Experience with standard calibration and sensor fusion frameworks (e.g., Kalibr).
Exposure to ML infrastructure or data pipelines operating at scale.
Python and C++ (Crucial for robust navigation/SLAM pipelines)
3D Vision, Calibration & Optimization libraries (e.g., OpenCV, Ceres Solver, GTSAM, COLMAP, Kalibr)
PyTorch and deep learning CV libraries
Video and image processing pipelines (FFmpeg, etc.)
Internal web tooling and visualization (Rerun)
Note: The exact stack matters less than your ability to build, debug, and ship impactful spatial tools and algorithms.
Our custom camera and iPhone SLAM/SfM systems perform reliably and efficiently under your ownership.
You establish a seamless feedback loop with the China hardware team, ensuring sensor rigs are tightly calibrated and trajectory estimates remain robust against real-world hardware noise.
Internal teams rely on your tools, navigation ground-truth, and general CV support daily.
Customers trust Mecka’s spatial data because the underlying algorithms and tooling are rock solid.
Pure research roles with no production ownership.
Engineers looking for a remote or hybrid role—this requires physical presence with hardware testing in NYC.
Algorithm-only engineers who do not want to engage with the practical realities of hardware calibration, IMU noise, or cross-functional team communication.
Direct impact on how real robots are trained and navigate the world.
High ownership over core spatial data, multiple navigation systems, and CV support.
Close collaboration with leading robotics companies and AI labs.
The opportunity to build the multi-modal tooling layer that most teams wish they had.
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.\n\n\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. We work with leading robotics companies and AI labs to collect, label, and validate the large-scale, real-world visual and spatial data used to train perception, manipulation, and control systems. Our work sits directly in the loop between raw sensor data, labeling pipelines, and deployed models.\n\n\nABOUT THE ROLE\n\nWe are looking for a highly hands-on and product-oriented Computer Vision & Robotics Navigation Engineer to help us build the internal systems, algorithms, and tools that power our robotics data platform. Because this role involves hands-on testing, debugging, and local prototyping with our custom multi-sensor camera rigs, this is an on-site position based in our New York City office.\n\nIn this role, you will be the primary owner responsible for maintaining and improving our numerous SLAM and SfM systems across a variety of devices, including our custom camera rigs and iPhones. You will be deeply involved in the practical side of spatial computing—handling IMU noise modeling, sensor synchronization, and collaborating closely with our hardware team in China to ensure rigorous camera and sensor calibrations.\n\nBeyond your core navigation focus, you will also act as the central hub for general computer vision support throughout the company. If you are passionate about multi-view geometry, enjoy building custom tooling to visualize complex trajectories, care deeply about data quality, and want your work to directly impact real robots—this role is for you.\n\n\nWHAT YOU’LL DO\n\n - Own the Navigation Systems: Act as the main engineer responsible for maintaining, optimizing, and improving our multiple SLAM and Structure from Motion (SfM) pipelines.\n\n - Sensor Calibration & Hardware Collaboration: Define, validate, and troubleshoot rigorous intrinsic and extrinsic calibration requirements for multi-camera setups and IMUs. You will communicate continuously with our hardware team in China—where the physical calibrations take place—while managing the algorithmic challenges of hardware-based SLAM locally, including temporal synchronization, rolling shutter correction, and IMU pre-integration.\n\n - Cross-Device Optimization: Ensure our spatial computing algorithms run robustly and accurately across a variety of hardware profiles, specifically our custom camera hardware and mobile devices (iOS/iPhone).\n\n - Company-Wide CV Support: Provide general computer vision expertise and support to various internal teams, assisting with pre- and post-processing, data validation, and automated labeling.\n\n - Design Internal Tooling: Ship custom tools (like Gradio or Rerun) to visualize images, video, 3D point clouds, and trajectories.\n\n - Debug & Inspect: Create interactive interfaces that help operations, annotators, and researchers inspect failure cases, understand edge conditions, and identify spatial labeling errors.\n\n\nWHAT WE’RE LOOKING FOR\n\n - Deep Navigation Expertise: A strong background in 3D computer vision and multi-view geometry, with proven experience building, maintaining, or improving SLAM, VIO, and SfM pipelines.\n\n - Practical SLAM & Calibration Skills: Deep knowledge of IMU kinematics (noise density, random walk biases) and rigorous camera calibration techniques (checkerboard/AprilTag targets, lens distortion models), with the ability to effectively communicate these technical requirements to cross-border hardware teams.\n\n - Hardware Familiarity: Experience working with spatial data from diverse hardware sources, such as custom camera rigs and mobile devices (iOS/iPhone).\n\n - Mathematical Fundamentals: An intuitive grasp of linear algebra, optimization, and the first principles of traditional CV and spatial tracking.\n\n - Engineering Rigor: A proven track record of software development expertise, consistently delivering high-quality, clean, efficient, and scalable code (especially in C++ and Python).\n\n - Adaptability: Comfortable iterating with users, bridging communication across time zones, supporting company-wide CV needs, and working alongside noisy, unstructured, real-world sensor data.\n\n\nSTRONG PLUS\n\n - Hands-on experience building CV/spatial tooling or apps such as dataset browsers, annotation tools, model debugging dashboards, or Gradio-style demos.\n\n - Experience with standard calibration and sensor fusion frameworks (e.g., Kalibr).\n\n - Exposure to ML infrastructure or data pipelines operating at scale.\n\n\nTECH STACK\n\n - Python and C++ (Crucial for robust navigation/SLAM pipelines)\n\n - 3D Vision, Calibration & Optimization libraries (e.g., OpenCV, Ceres Solver, GTSAM, COLMAP, Kalibr)\n\n - PyTorch and deep learning CV libraries\n\n - Video and image processing pipelines (FFmpeg, etc.)\n\n - Internal web tooling and visualization (Rerun)\n\nNote: The exact stack matters less than your ability to build, debug, and ship impactful spatial tools and algorithms.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Our custom camera and iPhone SLAM/SfM systems perform reliably and efficiently under your ownership.\n\n - You establish a seamless feedback loop with the China hardware team, ensuring sensor rigs are tightly calibrated and trajectory estimates remain robust against real-world hardware noise.\n\n - Internal teams rely on your tools, navigation ground-truth, and general CV support daily.\n\n - Customers trust Mecka’s spatial data because the underlying algorithms and tooling are rock solid.\n\n\nWHO THIS ROLE IS NOT FOR\n\n - Pure research roles with no production ownership.\n\n - Engineers looking for a remote or hybrid role—this requires physical presence with hardware testing in NYC.\n\n - Algorithm-only engineers who do not want to engage with the practical realities of hardware calibration, IMU noise, or cross-functional team communication.\n\n\nWHY THIS ROLE AT MECKA?\n\n - Direct impact on how real robots are trained and navigate the world.\n\n - High ownership over core spatial data, multiple navigation systems, and CV support.\n\n - Close collaboration with leading robotics companies and AI labs.\n\n - The opportunity to build the multi-modal tooling layer that most teams wish they had.\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."},{"id":"2c4f6c3b-6dc5-4784-a2b2-bdc3da3a7dcc","title":"Data Annotation Lead","department":"Platform Engineering & Infrastructure","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"North America","secondaryLocations":[],"publishedAt":"2026-08-09T23:16:48.642+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":null,"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/2c4f6c3b-6dc5-4784-a2b2-bdc3da3a7dcc","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/2c4f6c3b-6dc5-4784-a2b2-bdc3da3a7dcc/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.
Data Annotation Lead
Team: Data Operations · Type: Full-time · Location: NYC / Toronto — on-site
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 and robotics teams. Our operations span multiple countries, with contributors, partners, and customers across North America and Asia.
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.
The role
We're looking for a Data Annotation Lead to own our annotation operation end-to-end and build the team behind it. This is a lead / player-coach role with a heavy PM lean: you'll set the framework, quality bar, and tooling for annotation, turn ambiguous research requests into crisp guidelines, and scale a workforce that can pivot fast without dropping quality. You'll sit at the seam of ML/CV, product, and operations.
What you'll do
Own annotation operations end-to-end — quality, throughput, and cost per delivered hour
Build and lead the in-house annotation team; own the in-house vs. partner/BPO mix and manage external vendors where used
Translate research and client requirements into clear annotation guidelines, taxonomies, and QA rubrics
Stand up the quality system: audits, inter-annotator agreement, golden sets, reviewer scorecards, escalation paths
Partner with ML/CV and product to spec and pilot new annotation task types for fast-moving experiments
Drive AI-assisted labeling (model pre-labels → human correction) to raise throughput and cut cost
Own the metrics — dashboards on quality and volume — and report the state of annotation to leadership
Stay in the weeds: annotate yourself whenever a new task type is being designed
What you'll bring
Direct experience in data annotation / labeling (required — the thing we care most about)
Ideal background in data collection, physical AI / robotics, or text annotation
Proven people and operations leadership — you've built or scaled a team or function
PM instincts: ruthless prioritization of competing requests, organized execution under ambiguity, strong stakeholder management across annotators, engineering, and clients
Clear written and verbal communication — your guidelines are the source of truth for the team
Comfort with annotation tooling and the ability to leverage AI coding tools to build internal trackers/dashboards (no formal CS background required)
Intermediate understanding of ML and how annotation quality drives model performance
A level of hardcore-ness while still treating people like people
Nice to have
Previously led a data annotation team, or were a top-tier annotator yourself
Vendor / BPO management experience, ideally where quality was the primary lever
Familiarity with text annotation styles and video concepts (frame rate, keypoints, bounding boxes, temporal segments)
Experience managing distributed or offshore teams
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.\n\n\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nData Annotation Lead\n\nTeam: Data Operations · Type: Full-time · Location: NYC / Toronto — on-site\n\n\n\n\nABOUT MECKA\n\nMecka 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 and robotics teams. Our operations span multiple countries, with contributors, partners, and customers across North America and Asia.\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\n\nThe role\n\nWe're looking for a Data Annotation Lead to own our annotation operation end-to-end and build the team behind it. This is a lead / player-coach role with a heavy PM lean: you'll set the framework, quality bar, and tooling for annotation, turn ambiguous research requests into crisp guidelines, and scale a workforce that can pivot fast without dropping quality. You'll sit at the seam of ML/CV, product, and operations.\n\n\n\nWhat you'll do\n\n - Own annotation operations end-to-end — quality, throughput, and cost per delivered hour\n\n - Build and lead the in-house annotation team; own the in-house vs. partner/BPO mix and manage external vendors where used\n\n - Translate research and client requirements into clear annotation guidelines, taxonomies, and QA rubrics\n\n - Stand up the quality system: audits, inter-annotator agreement, golden sets, reviewer scorecards, escalation paths\n\n - Partner with ML/CV and product to spec and pilot new annotation task types for fast-moving experiments\n\n - Drive AI-assisted labeling (model pre-labels → human correction) to raise throughput and cut cost\n\n - Own the metrics — dashboards on quality and volume — and report the state of annotation to leadership\n\n - Stay in the weeds: annotate yourself whenever a new task type is being designed\n\n\n\nWhat you'll bring\n\n - Direct experience in data annotation / labeling (required — the thing we care most about)\n\n - Ideal background in data collection, physical AI / robotics, or text annotation\n\n - Proven people and operations leadership — you've built or scaled a team or function\n\n - PM instincts: ruthless prioritization of competing requests, organized execution under ambiguity, strong stakeholder management across annotators, engineering, and clients\n\n - Clear written and verbal communication — your guidelines are the source of truth for the team\n\n - Comfort with annotation tooling and the ability to leverage AI coding tools to build internal trackers/dashboards (no formal CS background required)\n\n - Intermediate understanding of ML and how annotation quality drives model performance\n\n - A level of hardcore-ness while still treating people like people\n\n\n\nNice to have\n\n - Previously led a data annotation team, or were a top-tier annotator yourself\n\n - Vendor / BPO management experience, ideally where quality was the primary lever\n\n - Familiarity with text annotation styles and video concepts (frame rate, keypoints, bounding boxes, temporal segments)\n\n - Experience managing distributed or offshore teams\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."},{"id":"30539ee6-ce29-47e2-8168-798134f6babf","title":"Full-Stack Engineer, ML Tooling and Infrastructure","department":"Platform Engineering & Infrastructure","team":"Platform Engineering & Infrastructure","employmentType":"FullTime","location":"Toronto","secondaryLocations":[],"publishedAt":"2026-09-01T18:06:37.297+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Markham"}},"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.
Required Skills (The Hard Bar)
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.
To ensure alignment with the technical realities of this role, we will only review applications that include a link to your Proof of Work.
In your application, you must include a link to one of the following:
A personal website or portfolio.
A GitHub repository showing a non-trivial project you built (no standard bootcamp/tutorial clones).
A technical blog post or write-up you authored.
If you do not have public links because your best work is proprietary, include a brief (250 words max) technical description of a complex data pipeline, web application, or ML deployment you personally engineered, focusing on the specific bottlenecks you solved.
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.\n\n\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\nRESPONSIBILITIES\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\nWHO YOU ARE\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\nHOW TO APPLY (PROOF OF WORK REQUIREMENT)\n\nTo ensure alignment with the technical realities of this role, we will only review applications that include a link to your Proof of Work.\n\nIn your application, you must include a link to one of the following:\n\n - A personal website or portfolio.\n\n - A GitHub repository showing a non-trivial project you built (no standard bootcamp/tutorial clones).\n\n - A technical blog post or write-up you authored.\n\n - If you do not have public links because your best work is proprietary, include a brief (250 words max) technical description of a complex data pipeline, web application, or ML deployment you personally engineered, focusing on the specific bottlenecks you solved.\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."},{"id":"f36b355c-f823-4031-b7a2-2337c70ef902","title":"Calibration Engineer, Camera & Sensors","department":"Hardware and Robotics","team":"Hardware and Robotics","employmentType":"FullTime","location":"Shenzhen","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Markham"}}}],"publishedAt":"2026-09-01T19:03:59.124+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"China"}},"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
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.\n\n\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\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."},{"id":"fc6c7c05-a03d-46fe-b417-c1f50341fdb6","title":"Data Delivery Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Toronto","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"United States","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-04T22:03:26.579+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Markham"}},"jobUrl":"https://jobs.ashbyhq.com/mecka.ai/fc6c7c05-a03d-46fe-b417-c1f50341fdb6","applyUrl":"https://jobs.ashbyhq.com/mecka.ai/fc6c7c05-a03d-46fe-b417-c1f50341fdb6/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.
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 a Data Delivery Lead to turn our raw captured, labeled, and validated data into the exact deliverable a frontier robotics lab pays for — assembled correctly, validated ruthlessly, and documented clearly.
This is a hands-on, data-native role. You come from a data analytics or data engineering background and are fluent in SQL and working with large, messy datasets. You'll live at the seam between our internal data systems and our customers' specs: translating what a lab asks for into concrete queries and quality gates, pulling and packaging the final cut, running it through validation before anyone else sees it, and producing the reports and catalogs that ship alongside it.
You make sure that when a deliverable leaves Mecka, it is exactly right — and that we are our own strictest customer long before the actual customer opens the box.
The role blends deep data analysis with technical delivery ownership. You won't necessarily write production pipelines day-to-day, but you'll understand our data stack well enough to direct engineering, query it directly, and catch problems no dashboard would surface.
Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores)
Format data to each customer's schema; generate manifests, indexes, and packaging
Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly
Own the mechanics of the drop end-to-end, so nothing ships half-assembled
Run every deliverable through Mecka's ship-gates before it goes out
Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection
Set an internal acceptance bar higher than the customer's own QC — catch it here, never there
Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed
Turn a customer's data specification into concrete, testable gates and queries
Translate back into what capture, labeling, and CV operations must actually produce to hit that spec
Serve as the technical interpreter between customer requirements and internal execution
Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop
Keep a canonical \"our strongest work, today\" reference pack always current
Make the quality and shape of the data legible to a technical customer at a glance
Track delivery performance against timelines and SLAs; ensure they're consistently met
Identify bottlenecks in the assembly-to-ship path and drive them out
Ensure the delivery process scales as volume and customer count grow
Partner with data capture, labeling operations, and engineering to close spec gaps
Own delivery communication with internal teams and external customers
Keep timelines, risks, and deliverable status transparent to everyone who needs it
REQUIRED EXPERIENCE
1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role
Fluent in SQL; comfortable querying and reshaping large, imperfect datasets independently
Working proficiency with a scripting language (Python preferred) for data manipulation, validation, and automation
Solid grasp of data pipelines, schemas, and data-quality concepts
Proven ability to own a data workflow or deliverable end-to-end
Excellent communication and stakeholder-management abilities
STRONG SIGNALS
Experience in fast-paced startups or high-growth environments
Exposure to ML / AI training data, data labeling, or dataset delivery
Experience with NoSQL / document stores and/or columnar analytics databases (e.g. ClickHouse, BigQuery, Snowflake)
Built QA / validation tooling or data-quality checks
Strong intuition for prioritization and tradeoffs between speed, quality, and cost
YOU ARE
Rigorous and detail-obsessed — you find the error before the customer does
Structured in your thinking but flexible in execution
Comfortable operating in ambiguity and fast-changing environments
Data-native — your instinct is to measure, not assume
Calm under pressure, able to run multiple deliveries in parallel without dropping quality
WHY THIS ROLE
Own the last mile that every customer relationship ultimately depends on
Sit at the intersection of data engineering, operations, and customer delivery
Directly shape how Mecka defines and defends \"gold-standard\" data quality
High visibility and direct exposure to leadership and customers
Build the systems that let Mecka's delivery scale globally
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.\n\n\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\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\n\n\nOUR CULTURE\n\nExcellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.\n\nHighly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure.\n\nTruth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast.\n\nManiacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.\n\nExtreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission.\n\nHardcore. This is a high-intensity environment for people who want to do the defining work of their lives.\n\n\n\n\nTHE ROLE\n\n\nOWN THE LAST MILE OF MECKA'S BUSINESS\n\nWe're hiring a Data Delivery Lead to turn our raw captured, labeled, and validated data into the exact deliverable a frontier robotics lab pays for — assembled correctly, validated ruthlessly, and documented clearly.\n\nThis is a hands-on, data-native role. You come from a data analytics or data engineering background and are fluent in SQL and working with large, messy datasets. You'll live at the seam between our internal data systems and our customers' specs: translating what a lab asks for into concrete queries and quality gates, pulling and packaging the final cut, running it through validation before anyone else sees it, and producing the reports and catalogs that ship alongside it.\n\nYou make sure that when a deliverable leaves Mecka, it is exactly right — and that we are our own strictest customer long before the actual customer opens the box.\n\nThe role blends deep data analysis with technical delivery ownership. You won't necessarily write production pipelines day-to-day, but you'll understand our data stack well enough to direct engineering, query it directly, and catch problems no dashboard would surface.\n\n\n\n\nRESPONSIBILITIES\n\n\nDELIVERABLE ASSEMBLY & EXPORT\n\n - Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores)\n\n - Format data to each customer's schema; generate manifests, indexes, and packaging\n\n - Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly\n\n - Own the mechanics of the drop end-to-end, so nothing ships half-assembled\n\n\nDELIVERY QA & VALIDATION — THE STRICTEST-CUSTOMER BAR\n\n - Run every deliverable through Mecka's ship-gates before it goes out\n\n - Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection\n\n - Set an internal acceptance bar higher than the customer's own QC — catch it here, never there\n\n - Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed\n\n\nSPEC TRANSLATION\n\n - Turn a customer's data specification into concrete, testable gates and queries\n\n - Translate back into what capture, labeling, and CV operations must actually produce to hit that spec\n\n - Serve as the technical interpreter between customer requirements and internal execution\n\n\nCUSTOMER-FACING DELIVERY ARTIFACTS\n\n - Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop\n\n - Keep a canonical \"our strongest work, today\" reference pack always current\n\n - Make the quality and shape of the data legible to a technical customer at a glance\n\n\nTHROUGHPUT & DELIVERY MANAGEMENT\n\n - Track delivery performance against timelines and SLAs; ensure they're consistently met\n\n - Identify bottlenecks in the assembly-to-ship path and drive them out\n\n - Ensure the delivery process scales as volume and customer count grow\n\n\nCROSS-FUNCTIONAL & STAKEHOLDER EXECUTION\n\n - Partner with data capture, labeling operations, and engineering to close spec gaps\n\n - Own delivery communication with internal teams and external customers\n\n - Keep timelines, risks, and deliverable status transparent to everyone who needs it\n\n\n\n\nWHO YOU ARE\n\nREQUIRED EXPERIENCE\n\n - 1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role\n\n - Fluent in SQL; comfortable querying and reshaping large, imperfect datasets independently\n\n - Working proficiency with a scripting language (Python preferred) for data manipulation, validation, and automation\n\n - Solid grasp of data pipelines, schemas, and data-quality concepts\n\n - Proven ability to own a data workflow or deliverable end-to-end\n\n - Excellent communication and stakeholder-management abilities\n\nSTRONG SIGNALS\n\n - Experience in fast-paced startups or high-growth environments\n\n - Exposure to ML / AI training data, data labeling, or dataset delivery\n\n - Experience with NoSQL / document stores and/or columnar analytics databases (e.g. ClickHouse, BigQuery, Snowflake)\n\n - Built QA / validation tooling or data-quality checks\n\n - Strong intuition for prioritization and tradeoffs between speed, quality, and cost\n\nYOU ARE\n\n - Rigorous and detail-obsessed — you find the error before the customer does\n\n - Structured in your thinking but flexible in execution\n\n - Comfortable operating in ambiguity and fast-changing environments\n\n - Data-native — your instinct is to measure, not assume\n\n - Calm under pressure, able to run multiple deliveries in parallel without dropping quality\n\nWHY THIS ROLE\n\n - Own the last mile that every customer relationship ultimately depends on\n\n - Sit at the intersection of data engineering, operations, and customer delivery\n\n - Directly shape how Mecka defines and defends \"gold-standard\" data quality\n\n - High visibility and direct exposure to leadership and customers\n\n - Build the systems that let Mecka's delivery scale globally\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."},{"id":"983670d0-1295-4575-911c-b25940982826","title":"Growth Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","secondaryLocations":[],"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.
We're hiring a Growth Lead to own how supply finds Mecka.
Our supply is a global network of contributors capturing real-world data. That network needs to grow by an order of magnitude, and today acquisition runs market by market. You will build one engine: shared channels, playbooks, and measurement that every hub runs, and lead the team that runs it.
• Own the Funnels: Run supply acquisition end-to-end across multiple channels for individual contributors to specialized talent and organizations, and own the result on quality, speed, and volume.
• Pipeline Health: Manage several active pipelines at once, spot where they stall, and move budget, people, or channels to unblock them.
• Activation: Own conversion at every step of the funnel and the time it takes a new contributor to reach their first approved capture.
• Capacity Planning: Forecast supply demand by program and market, size the team and channels against it, and rebalance before a program runs short.
• Yield Discipline: Know the cost and conversion of every channel and double down or cut based on the numbers, not the story.
• Online Presence: Build and run brand presence where contributors already are: online channels, local communities, forums, and whatever comes next.
• Referral and Partners: Design referral and affiliate mechanics with fraud controls built in, and build a repeatable partner motion with organizations that already reach our supply.
• Repeat Engagement: Build the relationships and programs that turn one-time contributors into a reliable, returning bench.
• Brand and Marketing Strategy: Set how Mecka shows up to contributors, from positioning and messaging to the channels and creative that carry it, so supply growth compounds rather than restarts each program.
• Supply-Side Growth Leadership: 6+ years in growth, with a track record owning supply-side acquisition at a two-sided marketplace, gig platform, or data collection business.
• Multi-Channel Builder: Built a multi-channel acquisition engine from scratch, spanning referral, community, field, organic, and paid, and scaled it across more than one market.
• Cost of Acquisition Ownership: Owned a growth budget and defended cost of acquisition and activation metrics to a leadership team.
• Team Leadership: Hired and led a growth team, including through a matrix with in-market teams you didn't directly manage.
• New York Based: Based in New York or willing to relocate. Willing to travel regularly to our global markets.
• Global or APAC Experience: Scaled supply growth across global markets
• Data Collection Environment: Experience growing a contributor, annotator, or workforce base at a data collection or AI training data company.
• Playbook Discipline: Made a growth playbook portable across countries and teams.
• Analytical Reflex: Data-driven by reflex. Thinks in unit economics per channel per market.
• Builder Mindset: A builder, not a caretaker.
• Communication Style: Direct, low-ego, high-clarity communicator.
• Robotics Excitement: Excited about bringing robotics into the real world at scale.
• Own the Function: Build Mecka's growth engine from the ground up, with a budget and a team to hire behind you.
• Global Scale: Markets across APAC, South America, and North America from day one, with country teams already in place to run what you design.
• Executive Exposure: Direct line to the founding team and the Head of Operations.
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.\n\n\nWe work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.\n\nWe're hiring a Growth Lead to own how supply finds Mecka.\n\nOur supply is a global network of contributors capturing real-world data. That network needs to grow by an order of magnitude, and today acquisition runs market by market. You will build one engine: shared channels, playbooks, and measurement that every hub runs, and lead the team that runs it.\n\n\n\n\nWHAT YOU'LL WORK ON\n\n\nSUPPLY FUNNELS AND THROUGHPUT\n\n• Own the Funnels: Run supply acquisition end-to-end across multiple channels for individual contributors to specialized talent and organizations, and own the result on quality, speed, and volume.\n\n• Pipeline Health: Manage several active pipelines at once, spot where they stall, and move budget, people, or channels to unblock them.\n\n• Activation: Own conversion at every step of the funnel and the time it takes a new contributor to reach their first approved capture.\n\n• Capacity Planning: Forecast supply demand by program and market, size the team and channels against it, and rebalance before a program runs short.\n\n\n\n\nCHANNEL SCALING\n\n\n• CHANNEL PORTFOLIO: TEST, MEASURE, AND SCALE THE CHANNELS THAT BRING SUPPLY IN: REFERRAL, COMMUNITY, FIELD, ORGANIC, PARTNERSHIPS, AND PAID, BY MARKET.\n\n• Yield Discipline: Know the cost and conversion of every channel and double down or cut based on the numbers, not the story.\n\n• Online Presence: Build and run brand presence where contributors already are: online channels, local communities, forums, and whatever comes next.\n\n• Referral and Partners: Design referral and affiliate mechanics with fraud controls built in, and build a repeatable partner motion with organizations that already reach our supply.\n\n\n\n\nCONTRIBUTOR RELATIONSHIPS\n\n• Repeat Engagement: Build the relationships and programs that turn one-time contributors into a reliable, returning bench.\n\n• Brand and Marketing Strategy: Set how Mecka shows up to contributors, from positioning and messaging to the channels and creative that carry it, so supply growth compounds rather than restarts each program.\n\n\n\n\nWHO YOU ARE\n\n\nREQUIRED BACKGROUND:\n\n• Supply-Side Growth Leadership: 6+ years in growth, with a track record owning supply-side acquisition at a two-sided marketplace, gig platform, or data collection business.\n\n• Multi-Channel Builder: Built a multi-channel acquisition engine from scratch, spanning referral, community, field, organic, and paid, and scaled it across more than one market.\n\n• Cost of Acquisition Ownership: Owned a growth budget and defended cost of acquisition and activation metrics to a leadership team.\n\n• Team Leadership: Hired and led a growth team, including through a matrix with in-market teams you didn't directly manage.\n\n• New York Based: Based in New York or willing to relocate. Willing to travel regularly to our global markets.\n\n\n\n\nSTRONG SIGNALS:\n\n• Global or APAC Experience: Scaled supply growth across global markets\n\n• Data Collection Environment: Experience growing a contributor, annotator, or workforce base at a data collection or AI training data company.\n\n• Playbook Discipline: Made a growth playbook portable across countries and teams.\n\n• Analytical Reflex: Data-driven by reflex. Thinks in unit economics per channel per market.\n\n• Builder Mindset: A builder, not a caretaker.\n\n• Communication Style: Direct, low-ego, high-clarity communicator.\n\n• Robotics Excitement: Excited about bringing robotics into the real world at scale.\n\n\n\n\nWHY MECKA AI?\n\n• Own the Function: Build Mecka's growth engine from the ground up, with a budget and a team to hire behind you.\n\n• Global Scale: Markets across APAC, South America, and North America from day one, with country teams already in place to run what you design.\n\n• Executive Exposure: Direct line to the founding team and the Head of Operations.\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."}],"apiVersion":"1"}