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

What you'll do

• Deploy and evaluate learned manipulation policies on robots; diagnose and close the simulation-to-reality gap.
• Develop contact-aware manipulation methods and production-quality, real-time robot implementations.
• Build data collection and evaluation loops, collaborate across robotics disciplines, and present work through publications and scientific presentations.

What they ask for

• 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.
• Programming experience in Java, C++, Python or related language; hands-on experience deploying and evaluating learning-based control or manipulation on physical robots; strong background in reinforcement learning, learning-based manipulation, contact-rich control, or force/torque control.

Nice to have

• Professional software development experience.
• Experience with contact-rich control or manipulation policies, tactile sensing, compliant control on physical systems, or deploying and supporting complex robotic systems at scale; publications in top robotics or machine learning venues.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python

AI focus

Develop, deploy, and improve learned robotic manipulation policies, including learning-based control and contact-rich manipulation on physical robots.