We have an opening for Physical AI Researcher
Location - San Francisco Bay Area, CA
Full time permanent position
Responsibilities
Develop, train, and deploy machine learning models for general-purpose robots
Implement and optimize algorithms in areas such as imitation learning, RL, diffusion policies, VLA, and navigation
Collaborate with robotics engineers to integrate perception, control, and cognition into a unified system
Conduct applied research that pushes Physical AI forward, with an emphasis on commercial viability
Analyze performance, debug complex behaviors, and continuously improve model robustness in the real world
Qualifications
MS or PhD in EECS, Robotics, CS, AI, or a related field, or equivalent industry experience
Strong background in machine learning, with applied work in robotics or embodied AI
Experience with one or more of: Vision-Language Models (VLAs), imitation learning, diffusion policies, reinforcement learning, navigation
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Track record of impactful projects, whether in academia, open-source, or industry
Publications in top robotics conferences (ICRA, CoRL, RSS, IROS, etc.)
Why Join Us
Own the whole research stack and be one of the principal architects of our humanoid platform instead of only working on a small fragment
Shape the future of robotics and physical AI in a tight-knit, driven team that values ownership, speed, and creativity
We have the capital, the hardware ownership, and the generational upside to make this your life's work
