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Machine Learning Engineer
What you'll do
- Design 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
- Develop action refinement and safety layers that post-process VLA outputs — constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deployment
- Architect 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
- Design and maintain robust data collection and curation pipelines for production robot fleets
- Build reliable, high-speed robot autonomy software stack optimized for inference
performance
- Advance SOTA dexterous manipulation architecture through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.
Required Qualifications
- PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
- Deep 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 implementation
- Hands-on experience with model lifecycle management including training, deployment, and maintenance in production settings
Preferred Qualifications
- Authored or co-authored peer-reviewed publications in robotics or related fields
- Hands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methods
- Background in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementations
Benefits
- We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).
- Medical, dental & vision plans
- Daily meals stipend
Hiring Process
- Phone screen + 2 virtual technical interviews + onsite
Expected Compensation
- $150,000 - $200,000 annual salary + cash and stock awards + benefits
- The 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.
Application
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Resume
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What is the hardest problem you've worked on (or describe your most significant research result)? How did you solve it?
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When is the earliest date you can start?
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Onsite Work Requirement
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This 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 Authorization
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Are you a US Citizen, Green Card Holder or Valid Visa Holder (H1-B, O-1, TN, E-3, OPT, etc)?