Reinforcement Learning Researcher (Humanoid)

The role focuses on developing and training advanced reinforcement learning control policies for REK's full‑scale humanoid robots. The researcher will design algorithms, build simulation environments, and ensure robust sim‑to‑real transfer, collaborating closely with robotics, simulation, and teleoperation teams to deliver real‑time fighting performance.