Applied Scientist – Safe RL for Dynamic Legged Robots

Amazon Science's SAF Lab is seeking an Applied Scientist to advance safe reinforcement learning for legged robots. You will develop policies for walking, running, climbing, and fall recovery on real hardware with safety constraints.

You will build sim-to-real pipelines, integrate with safety filters and whole-body control, and collaborate with perception, planning, and controls teams in Pasadena. Expect publishing and broad impact.