Amazon Robotics is seeking an Applied Scientist to advance reinforcement learning for manipulation. You will train policies in simulation at scale and transfer them to physical robots, focusing on non-prehensile, contact-rich manipulation and robust deployment.
You will design scalable training pipelines, develop sim-to-real techniques, and collaborate with control, perception, and hardware teams to push prototypes to demonstrated capabilities.
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