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
3D reconstruction and scene understanding
Embodied AI
Object-level / semantic SLAM
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)
Ability to work across machine learning, perception, and robotics
","descriptionPlain":"We are an AI research lab building foundational intelligence for the physical world.\n\nOur models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.\n\nWe 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.\n\nYou 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.\n\nWhat You’ll Do\n\n - Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.\n\n - Build the \"World\": Develop persistent 3D/4D scene representations that maintain temporal consistency.\n\n - Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.\n\n - Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.\n\n - Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.\n\n\nAREAS OF INTEREST\n\nWe are particularly excited about candidates working on topics such as:\n\n - World models for embodied systems\n\n - 3D / 4D generative models\n\n - 3D reconstruction and scene understanding\n\n - Embodied AI\n\n - Object-level / semantic SLAM\n\n - Embodied AI\n\n - Multimodal AI\n \n\n\nWHAT WE’RE LOOKING FOR\n\n - Background in robotics, or computer vision\n\n - Experience with 3D perception, scene representations, or world models\n\n - Experience working with robotic systems, simulation, or real-world platforms\n\n - Strong programming skills (Python, C++, or similar)\n\nAbility to work across machine learning, perception, and robotics"},{"id":"87ec3e1d-3083-4dc8-9167-89167dc683e1","title":"Member of Technical Staff: Machine Learning Engineer","department":"Artificial Intelligence","team":"AI Engineering","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-04-29T04:17:43.800+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":""}},"jobUrl":"https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1","applyUrl":"https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1/application","descriptionHtml":"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
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