You will train and deploy VLA models for contact-rich manipulation and build the data flywheel for autonomous construction robots. Additionally, you will research world models and optimize them for edge deployment on physical hardware. Candidates must have a BS, MS, or PhD in CS, Robotics, or ML with experience shipping learned systems on physical robots. Proficiency in Python, PyTorch, and experience with robotics middleware like ROS2 is required.
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