Reinforcement Learning Researcher

This role involves owning reinforcement learning across the company's stack, from locomotion policies to learned behaviors, with a focus on deploying research on real-world hardware. The position requires setting the technical direction for RL applications, advancing state-of-the-art methods for embodied systems, and driving sim-to-real transfer. The ideal candidate will work on whole-body control, offline RL, and reward design to improve robot performance in diverse environments.