Amazon
Applied Scientist - Simulation and Large-Scale RL, Amazon Robotics - Vulcan Stow
$143K–$193K
Seattle, WA · Full-time · Posted Aug 11, 2026
- Experience
- 4+ years with a Master's degree; PhD is an alternative.
- Education
- PhD, or Master's degree and 4+ years of science, technology, engineering, or related field experience.
About the job
Advances reinforcement learning for robotic manipulation by training policies at scale in simulation and transferring them to physical robots.
What you'll do
- Design and train manipulation policies, simulation environments, curricula, and reward formulations.
- Develop and validate sim-to-real methods; own scalable training and evaluation pipelines and improve policies through testing.
- Collaborate across robotics disciplines and represent Amazon Robotics through publications and scientific presentations.
What they ask for
- PhD, or Master's degree and 4+ years of science, technology, engineering, or related field experience
- Programming experience in Java, C++, Python, or a related language
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience training reinforcement or imitation learning policies for manipulation or robot control; strong reinforcement learning background, including reward design and simulation training at scale
Nice to have
- Professional software development experience
- Sim-to-real transfer experience, including learned dynamics or world models for manipulation
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python
AI focus
Reinforcement and imitation learning for robotic manipulation; large-scale simulation training, sim-to-real transfer, and potentially learned dynamics or world models.
Model-written summary · the original posting is authoritative