{"schemaVersion":"jobsearcher.job.v1","id":"bb3677e4a7de14dedb9d3f05","url":"https://jobsearcher.com/jobs/bb3677e4a7de14dedb9d3f05","canonicalUrl":"https://jobsearcher.com/jobs/bb3677e4a7de14dedb9d3f05","title":"Robot Machine Learning Engineer","description":"About Deft Robotics\r\nOur mission is to build the world's first labor agency that deploys dexterous robots as its primary workforce.\r\nWe start by deploying wheeled humanoid robots in industrial manufacturing and assembly lines.\r\nYou'll be joining a team of extremely hardcore and self-motivated engineers, scientists, and operators who focus on winning 24/7.\r\nYou will develop and own entire systems from design to deployment, playing a foundational role in deploying 5000+ robots by 2031.\r\nWhat you'll do\r\nDesign and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and dexterous behaviors in unstructured environments\r\nDevelop action refinement and safety layers that post-process VLA outputs — constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deployment\r\nArchitect clean interfaces and abstractions around base VLA models so they can be swapped, benchmarked, and upgraded as the SOTA evolves — keeping the stack model-agnostic\r\nDesign and maintain robust data collection and curation pipelines for production robot fleets\r\nBuild reliable, high-speed robot autonomy software stack optimized for inference performanceAdvance SOTA dexterous manipulation architecture through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.\r\nRequired Qualifications\r\nPhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline\r\nDeep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)\r\n3+ years of proven track record developing and deploying ML systems from research through production implementation\r\nHands-on experience with model lifecycle management including training, deployment, and maintenance in production settings\r\nPreferred Qualifications\r\nAuthored or co-authored peer-reviewed publications in robotics or related fields\r\nHands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methods\r\nBackground in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementations\r\nBenefits\r\nWe support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).\r\nMedical, dental & vision plans\r\nDaily meals stipend\r\nHiring Process\r\nPhone screen + 2 virtual technical interviews + onsite\r\nExpected Compensation\r\n$150,000 - $200,000 annual salary + cash and stock awards + benefits\r\nThe pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\r\nJ-18808-Ljbffr","company":"Rainfall Ventures","rawCompany":"rainfall ventures","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-04T02:34:40.893Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robot Machine Learning Engineer","description":"About Deft Robotics\r\nOur mission is to build the world's first labor agency that deploys dexterous robots as its primary workforce.\r\nWe start by deploying wheeled humanoid robots in industrial manufacturing and assembly lines.\r\nYou'll be joining a team of extremely hardcore and self-motivated engineers, scientists, and operators who focus on winning 24/7.\r\nYou will develop and own entire systems from design to deployment, playing a foundational role in deploying 5000+ robots by 2031.\r\nWhat you'll do\r\nDesign and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and dexterous behaviors in unstructured environments\r\nDevelop action refinement and safety layers that post-process VLA outputs — constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deployment\r\nArchitect clean interfaces and abstractions around base VLA models so they can be swapped, benchmarked, and upgraded as the SOTA evolves — keeping the stack model-agnostic\r\nDesign and maintain robust data collection and curation pipelines for production robot fleets\r\nBuild reliable, high-speed robot autonomy software stack optimized for inference performanceAdvance SOTA dexterous manipulation architecture through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.\r\nRequired Qualifications\r\nPhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline\r\nDeep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)\r\n3+ years of proven track record developing and deploying ML systems from research through production implementation\r\nHands-on experience with model lifecycle management including training, deployment, and maintenance in production settings\r\nPreferred Qualifications\r\nAuthored or co-authored peer-reviewed publications in robotics or related fields\r\nHands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methods\r\nBackground in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementations\r\nBenefits\r\nWe support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).\r\nMedical, dental & vision plans\r\nDaily meals stipend\r\nHiring Process\r\nPhone screen + 2 virtual technical interviews + onsite\r\nExpected Compensation\r\n$150,000 - $200,000 annual salary + cash and stock awards + benefits\r\nThe pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:34:40.893Z","dateModified":"2026-07-04T02:34:40.893Z","hiringOrganization":{"@type":"Organization","name":"Rainfall Ventures","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bb3677e4a7de14dedb9d3f05"},"url":"https://jobsearcher.com/jobs/bb3677e4a7de14dedb9d3f05"}}