As a Member of Technical Staff on Machine Learning, you will:
Contribute to the entire development cycle of our cutting-edge large deep learning models.
Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
Join us at an exciting moment, wear many hats and help us build something from the ground up!
You may be a good fit, if you have:
Experience with training and evaluating large deep learning models.
Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
Proven track record of applying and implementing machine learning algorithms into software applications at scale.
The ability to build in a fast-paced environment under some uncertainty.
A kind and collaborative nature and work style.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
As a Member of Technical Staff on Applied AI, you will:
Productionize frontier AI models to solve complex real-world problems.
Collaborate closely with researchers and other teammates on the latest advancements in AI and ML.
Work closely with our customers to integrate our models into their technology stack.
Make direct business impact with a high level of product ownership.
Be a founding member of a fast-growing team and wear many hats.
You may be a good fit, if you have:
An obsession with customers and a passion for solving practical (but sometimes ambiguous) real-world problems.
Experience as a machine learning engineer, ideally working on AI products for external customers.
Background as a technical founder or in a similar capacity.
Practical experience working with transformer models and LLMs.
An exceptional ability to communicate and work effectively with cross-functional teams.
Track records of owning problems end-to-end, and can learn fast and pick up new knowledge to get the job done.
A kind and collaborative nature and work style.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.
Ideal Experience
Strong engineering skills with fluency in Python and PyTorch (or other frameworks).
Proven experience implementing and training large deep learning models.
Experience writing and debugging low-level GPU code (CUDA, C++).
Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).
Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.
Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
We are an AI research lab building foundational intelligence for the physical world.
Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.
We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.
You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.
What You’ll Do
Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.
Build the \"World\": Develop persistent 3D/4D scene representations that maintain temporal consistency.
Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.
Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.
Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.
We are particularly excited about candidates working on topics such as:
World models for embodied systems
3D / 4D generative models
Robotics manipulation
Embodied AI
Multimodal AI
Background in robotics, or computer vision
Experience with 3D perception, scene representations, or world models
Experience working with robotic systems, simulation, or real-world platforms
Strong programming skills (Python, C++, or similar)
Located in London or willing to relocate to London, UK
Ability to work across machine learning, perception, and robotics
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance for UK employees to ensure a smooth transition and support your career with us.
What You’ll Do
Translate cutting-edge research into production-ready machine learning systems
Design, build, and deploy end-to-end ML models and pipelines
Develop and optimize models for image and video processing
Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
Rapidly prototype using open-source models and adapt them for product needs
Conduct experiments, analyze results, and iterate to improve performance
Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale
Participate with advancements in machine learning and apply them to continuously improve products
What We’re Looking For
Required Qualifications
MS/PhD in Computer Science, Electrical Engineering, or related field
Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)
5+ years of experience in Python and proficiency in Java, C++, or Scala
Strong understanding of diffusion models
Strong understanding of multi-threading and memory management
Solid knowledge of ML architectures: CNNs and Transformers
Experience with PyTorch or TensorFlow
Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications
Experience deploying ML models in cloud environments (AWS preferred)
Experience with experiment tracking systems and ML workflows
Nice to Have
Experience in low level optimisation, cuda etc.
Experience productionizing and scaling ML models in real-world systems
Contributions to open-source projects
Experience with MLOps tools or distributed training systems
Familiarity with relational databases (Postgres/MySQL)
Experience handling large-scale data using tools like Spark
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you’ll help ensure our models are trained on the best data we can get.
Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds
Explore open source datasets and create internal ones most suitable to build fundamental World Models
Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data.
Track datasets, metadata, provenance, and versions so experiments are reproducible and it’s clear what data went into which training and evaluation runs
Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction
Track and optimize throughput, storage, and compute utilization across pipelines and related assets
Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems
Comfortable moving between research questions and production engineering: you can dig into data, run analyses, and also ship reliable systems
Demonstrated research experience with data compositions, quality, and dataset releases
Ability to design and execute experiments with convincing unbiased outcomes
Practical experience with distributed processing and orchestration (Spark, Ray, Airflow, or equivalents)
Solid Python skills, and familiarity with the tooling around modern model training workflows (datasets, checkpoints, experiment tracking)
Strong instincts around data quality: how to measure it, how to monitor it, and how to prevent regressions as things scale
Able to work in a fast-moving environment, prioritize what matters, and communicate clearly with both researchers and engineers
Bonus: experience with large video datasets, dataset curation for training, or building internal tooling for evaluation/analysis in ML environments
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
As a Member of Sales Staff, you will:
Own a book of prospective accounts end to end: prospecting, discovery, technical evaluation support, negotiation, and close
Run discovery calls to understand a prospect's model usage, infrastructure constraints, and business goals, and map those needs to Reka's product
Partner closely with Applied AI, Product, and Research to support technical evaluations, proofs of concept, and benchmarking exercises
Build and manage an accurate pipeline, and forecast reliably to leadership
Represent Reka at demos, meetups, and industry events as a credible voice on generative AI and model infrastructure
Work directly with leadership on strategic or complex deals given the size of the team
Help shape early sales process, positioning, and playbooks as one of the first dedicated sales hires
You may be a good fit, if you have:
3+ years of experience in sales, business development, or a customer facing technical role, selling to technical buyers or within AI, infrastructure, or developer tools
A track record of running full cycle deals and closing new business, not just generating pipeline
The ability to speak credibly about model inference, API integration, fine tuning, or compute infrastructure, or a demonstrated ability to get up to speed quickly on deep technical material
Big plus: prior experience selling AI compute or inference capacity (GPU clusters, model serving, or usage based infrastructure), you understand the buying motion around capacity commitments, utilization, and pricing
Comfort operating with a high degree of autonomy at an early stage company with limited process
Strong written and verbal communication, and the judgment to tailor a message for a developer, an ML lead, or an executive
Genuine curiosity about AI and where the market is heading
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Claru (a Reka business line) · San Francisco or remote · Full-time
Text has run out. The physical world — where skill lives — has never been recorded in a form a model can learn from. Claru is building that layer.
We sell data to frontier labs and robotics companies: zero to seven figures of ARR in under six months, with a team of five. It is a two-sided marketplace: labs arrive with a research problem and a budget, not a specification; contributors and partner businesses capture the work they already do, paid per approved unit. This job is the supply side.
We are hiring a Supply Lead and are looking for operators who are AI-native: more time with agents than with people, automation before hiring, systems that scale rather than teams that grow. That is how a team this small outruns much bigger companies. You need to be someone who can be dropped into an unfamiliar market and come back with capacity that is real.
Build a portfolio of partner businesses — whose staff capture the work they already do on shift — across the environments buyers want: event venues, retail back-of-house, construction, agriculture, hotels, warehousing. Each is won in a real conversation
Grow the contributor base alongside it and open new geographies, keeping supply owned and multi-channel so no single partner or geography is a dependency.
Own the geo rate card — what an approved unit costs by market and project type — so engagements are priced and staffed against something defensible
Own capacity forecasting — whether we can deliver a given volume in a given environment in a given number of weeks — which a Program Lead commits against.
Own contributor experience and retention: onboarding, payments landing on time, support, and why people stop.
Partner with the platform team on the tooling that makes supply self-serve
There is no standard one, but a real day might run like this: you start on the partner businesses already live — chasing the ones gone quiet, calling the two that signed last month and have not filmed. Contributor payments in one market did not land, so you find where it stopped and clear it. A Program Lead needs to know whether we can cover four weeks of warehouse capture in a new country, and you give them a number you would stand behind. Then a first conversation with a food manufacturer about putting their team on shift and collecting data.
Early-stage marketplace operating experience — required. You have got one side of a flywheel turning from a standing start, in a new territory or a new vertical — recruitment, pricing, retention and economics. Every new market here is that problem again
AI-native — required. You spend more time with agents than with people, you automate a process before you staff it, and your answer to more volume is a better system rather than more headcount
You have operated, not only advised. Former founders, high growth early stage startup hires, consulting, or business operations background is a strong plus and exactly the rigour we want
You close business yourself: partner businesses are won in conversation
Numerate — you build the model, find where the cost per unit breaks, and argue for the change
Credible with a company owner and with a shift supervisor alike
Bonus: exposure to AI labs or training data pipelines
Claru is a part of Reka (VC backed by NVIDIA). Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Reka was founded by researchers from Google DeepMind and FAIR, and ships Reka Vision, launched in July 2026, and Reka Edge, a 7B vision-language model. Reka's leadership includes the team behind Moonvalley's Marey, the first video model trained entirely on licensed data. Claru is Reka's data business, supplying the training data behind physical AI, embodied AI and world models.
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Claru (a Reka business line) · San Francisco · Full-time
Text has run out. The physical world — where skill lives — has never been recorded in a form a model can learn from. Claru is building that layer.
We sell data to frontier labs and robotics companies: zero to seven figures of ARR in under six months, with a team of five. It is a two-sided marketplace: labs arrive with a research problem and a budget, not a specification; contributors and partner businesses capture the work they already do, paid per approved unit. Both sides get built engagement by engagement. That is this job.
We are hiring a Program Lead and are looking for operators who are AI-native: more time with agents than with people, automation before hiring, systems that scale rather than teams that grow. That is how a team this small outruns much bigger companies. You need to be someone who can be dropped into an unfamiliar problem, with a client waiting, and come back with a plan that holds.
Turn an open-ended research need into a program with a scope, a standard, a timeline and agreed economics — then own the number
Work directly with frontier labs and robotics teams: turn a research problem into something deliverable, keep sophisticated buyers confident, and own the relationship from first call to delivery
Partner with our supply team to build the supply side from nothing if needed: recruit, activate and retain the contributors and partner businesses a program needs, in industries and geographies where none exists
Go at whichever blocker is in front of you: some days a spec or a tooling gap, other days a person, a partner or an incentive
Act as product manager for the platform team: your field evidence decides what gets built next, and you speak for the contributor and the client in the roadmap
Go where the work happens; physical operations are won by whoever showed up
Build leverage as you go — agents, automation, playbooks — so the second program costs a fraction of the first and the tenth runs itself
There is no standard one, but a real day might run like this: you start on the programs already live — checking with the team that supply is filming, that yesterday's batches cleared the quality bar, and chasing the sites that have gone quiet. A buyer wants to change the spec mid-program, so you work out what that does to volume, timeline and cost, and get the new version agreed in writing. Then a first call with a lab you have not worked with before: understand what they are trying to train, and be straight about what we can produce and what we cannot.
Early-stage marketplace operating experience — required. You have had to get a flywheel turning from a standing start, in a new territory or a new vertical, where neither side existed yet and you had to build both. Every engagement here is that problem again
AI-native — required. You spend more time with agents than with people, you automate a process before you staff it, and your answer to more volume is a better system rather than more headcount
You have operated, not only advised. Former founders, high growth early stage startup hires, consulting, or business operations background is a strong plus and exactly the rigour we want
Structured problem solving under pressure: first principles, then a plan a client and a team can both act on
Numerate — you build the model, find where the economics break, and argue for the change
Credible with a research lead and with a shift supervisor alike
Bonus: exposure to AI labs or training data pipelines
Claru is a part of Reka (VC backed by NVIDIA). Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Reka was founded by researchers from Google DeepMind and FAIR, and ships Reka Vision, launched in July 2026, and Reka Edge, a 7B vision-language model. Reka's leadership includes the team behind Moonvalley's Marey, the first video model trained entirely on licensed data. Claru is Reka's data business, supplying the training data behind physical AI, embodied AI and world models.
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.