Machine Learning Engineer
Page 1 of 2Machine Learning EngineerWhat you'll doDesign 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 environmentsDevelop action refinement and safety layers that post-process VLA outputs — constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deploymentArchitect clean interfaces and abstractions around base VLA models so they can be swapped, benchmarked, and upgraded as the SOTA evolves — keeping the stack model-agnosticDesign and maintain robust data collection and curation pipelines for production robot fleetsBuild reliable, high-speed robot autonomy software stack optimized for inferenceperformanceAdvance SOTA dexterous manipulation architecture through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.Required QualificationsPhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical disciplineDeep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)3+ years of proven track record developing and deploying ML systems from research through production implementationHands-on experience with model lifecycle management including training, deployment, and maintenance in production settingsPreferred QualificationsAuthored or co-authored peer-reviewed publications in robotics or related fieldsHands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methodsBackground in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementationsBenefitsWe support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).Medical, dental & vision plansDaily meals stipendHiring ProcessPhone screen + 2 virtual technical interviews + onsiteExpected Compensation$150,000 - $200,000 annual salary + cash and stock awards + benefitsThe 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.ApplicationRequiredRequiredResumeRequiredWhat is the hardest problem you've worked on (or describe your most significant research result)? How did you solve it?RequiredWhen is the earliest date you can start?RequiredOnsite Work RequirementRequiredThis is a full-time, five-day-a-week onsite role in our San Francisco, CA, office. Please confirm if you can meet this onsite requirement.US Work AuthorizationRequiredAre you a US Citizen, Green Card Holder or Valid Visa Holder (H1-B, O-1, TN, E-3, OPT, etc)?