Description
Amazon is hiring an Applied Scientist for its Safe Autonomy Frontiers (SAF) Lab to develop safe reinforcement learning policies for dynamic legged robots. The role covers locomotion algorithms, sim-to-real transfer, safety-constrained control, large-scale training infrastructure, policy evaluation, and collaboration with perception, planning, and control teams. Candidates need a relevant PhD, experience applying reinforcement learning to physical robotic systems, knowledge of legged robot dynamics and whole-body control, and proficiency in Python and deep learning frameworks. The position is based in Pasadena, California, with a base salary of 142,800 to 193,200 USD annually.
