Applied Scientist II, Industrial Robotics Group

Applied Scientist II in the Industrial Robotics Group developing ML-based robotic manipulation systems for Amazon-scale automation, integrating classical methods with learning-based approaches.

• Lead design, adapt, and implement novel machine learning solutions for manipulation robots
• Create hybrid approaches combining classical methods with learning-based solutions
• Design learning algorithms for automated parameter tuning and adaptation
• Develop data collection pipelines for demonstrations
• Build and test prototype workcell setups

Emphasis on ML for robotics, hybrid learning methods, data collection for demonstrations, and real-time control considerations with C++/Python/Java and Unix/Linux environments.

We seek a PhD-level applied scientist with a strong machine learning background focused on robot manipulation, imitation and reinforcement learning, and proficiency in Python/C++/Java with Unix/Linux for real-world robotics applications.