Amazon's SAF Lab seeks an Applied Scientist to advance safe reinforcement learning for legged locomotion on physical robots. You will develop RL architectures interfacing with physics models, internalize safety constraints in training, and enable sim-to-real transfer with safety filters during run-time.
You will collaborate across perception, planning, and controls teams to push the boundaries of safe autonomy and robust robot operation around humans.
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