Applied Scientist - Simulation and Large-Scale RL, Amazon Robotics - Vulcan Stow

What you’d do

Design and train reinforcement learning policies for robotic manipulation, build and scale simulation environments, and develop sim-to-real methods validated on physical hardware. Full-time in Seattle, partnering with control, perception, and hardware teams. Found on the employer's careers page on Sep 30, 2026. Apply through the link.

You’ll need

• PhD, or Master's plus 4+ years of science/engineering experience
• Programming in Java, C++, Python or related language
• Publications or patents at top-tier peer-reviewed venues
• Reinforcement learning and simulation experience
• Sim-to-real methods (domain randomization, system identification)