Applied Scientist - On-Robot Learning, Amazon Robotics - Vulcan Stow

Job description

Our organization in Amazon Robotics builds robots that perform contact-rich manipulation 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 bring learned manipulation policies to life on real robots. We are creating robots that learn how to push, flip, rearrange, and dexterously insert items with unparalleled robustness, speed, and reliability.

Job requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Hands-on experience deploying and evaluating learning-based control or manipulation on physical robots
Strong background in one or more of: reinforcement learning, learning-based manipulation, contact-rich control, or force/torque control
Experience in professional software development
Experience with contact-rich control or manipulation policies, tactile sensing, or compliant control on physical systems

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Applied Scientist - On-Robot Learning, Amazon Robotics - Vulcan Stow

Job description

Job requirements

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