Applied Scientist

Responsibilities

• Design, implement, and deploy motion planning, control, and manipulation algorithms on production robotic systems
• Partner with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions
• Contribute to the development of learned manipulation behaviors and controllers, including sim-to-real deployment
• Write production-quality code and own scalable, real-time implementations
• Validate algorithms on hardware, iterating between simulation and real-world testing to ensure robust performance
• Analyze experimental results, identify failure modes, and drive systematic improvements to system performance
• Champion Amazon in academia through publications and scientific presentations

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 with robotics work cells and control systems
• Strong background in motion planning, control theory (compliant control, trajectory optimization), or learning-based manipulation

Preferred Qualifications

• Experience deploying and supporting complex robotic systems at scale
• Familiarity with reinforcement learning, behavior cloning, and/or sim-to-real transfer for manipulation
• Experience with contact-rich manipulation, force/torque control, and/or constrained motion planning
• Publications in top robotics, controls, or machine learning venues (RSS, CoRL, ICRA, IROS, NeurIPS, ICML, etc.)

About the Company

Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments at Amazon scale.