Applied Scientist - Amazon Robotics, Amazon Robotics - Vulcan Stow

Job description

Our team in Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.

We are seeking an Applied Scientist to join our Motion Behaviors team. You will drive the development of learned controllers and manipulation behaviors, applying techniques like reinforcement learning and behavior cloning to robots operating in Amazon…

Job requirements

PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
Experience programming in Java, C++, Python or related language
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience training reinforcement learning or imitation learning policies for manipulation or robot control problems
Strong background in reinforcement learning, including reward design and training at scale in simulation
Experience in professional software development
Experience with sim-to-real transfer (domain randomization, system identification, etc.), including transferring learned policies onto physical robots.
Familiarity with learned dynamics or world models for manipulation

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