Senior Applied Scientist - Manipulation RL, Amazon Robotics - Vulcan Stow

What you'll do

• Set technical direction for contact-rich manipulation learning and guide development of reinforcement-learning approaches.
• Lead simulation-to-robot transfer, demonstrate capabilities at scale, and establish evaluation and improvement practices.
• Mentor scientists and engineers and collaborate across control, perception, and hardware.

What they ask for

• PhD or equivalent research experience.
• 7+ years of applied research experience; 3+ years building machine-learning models for business applications and 3+ years building and deploying learning-based control on robotic systems.
• Track record training reinforcement- or imitation-learning policies in simulation and transferring them to physical systems.
• Experience programming in Java, C++, Python or a related language; experience leading technical projects and mentoring scientists or engineers.

Nice to have

• Experience with sim-to-real transfer at scale, reward functions, and training curricula for robotic reinforcement learning.
• Experience with contact-rich or non-prehensile manipulation, and publications in top robotics or machine-learning venues.

Pay

USD 167,100.00 - 226,100.00 annually (base salary)

Tools

Java, C++, Python

AI focus

Develops reinforcement-learning manipulation policies, including sim-to-real transfer and learning-based robotic control.