This role involves developing and optimizing a learning-based robotic manipulation control stack, designing and maintaining a teleoperation system, and training robotic policies for manipulation and locomotion using reinforcement and imitation learning. The position also includes deploying robotic policies, diagnosing control pipeline issues, and analyzing the sim-to-real gap. The successful candidate will collaborate with a team focused on building general-purpose Physical AI.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees