Reinforcement Learning Engineer - Locomanipulation
Develop reinforcement learning policies for dynamic locomotion and loco-manipulation in humanoid robots, using large-scale simulation and real-world testing. Focus on scalable training pipelines, reward design, and sim-to-real transfer. Work closely with robotics and controls teams to deploy robust policies on physical hardware.