Research Engineer, Robot Learning

This role involves developing and optimizing reinforcement learning training pipelines for humanoid robots, focusing on sim2real approaches to bridge simulation and physical systems. The position requires training and testing robot policies, modeling physical systems, and utilizing human motion data to enhance robot capabilities. It also includes supporting the testing and debugging of RL policies in both simulation and on physical hardware.