Job Summary

• Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation.
• Own the full pipeline from data collection on real robots to model training, evaluation, and deployment.
• Collaborate with perception, controls, systems, and hardware teams to integrate policies into a full autonomy stack.

Matching Summary

Skills & Requirements

Key Requirements

• Hands-on experience developing and deploying robot learning systems on real robots
• Strong background in robot manipulation and visuomotor control
• Experience with behavior cloning, reinforcement learning, or related learning-based manipulation methods
• Proficiency in Python and/or C++ for robotics and ML systems
• Experience with modern deep learning frameworks (e.g., PyTorch)
• Ability to design experiments, analyze failures, and iterate quickly in real-world robotic systems
• Solid understanding of the tradeoffs between classical robotics approaches and learning-based methods

Work Rights