Applied Scientist, Amazon Robotics - Vulcan
Core
Design, implement, and deploy control strategies, manipulation behaviors, and affordance generation methods for contact-rich tasks on robots operating in Amazon fulfillment centers.
Role type
Applied Scientist (robotic manipulation)
Builds
Intelligent, integrated robotic systems for contact-rich manipulation in unstructured environments
Domain
Robotics, Control Theory, Machine Learning
Deliverable
production ML models
Required skills
motion planning, control theory (compliant control, trajectory optimization), learning-based manipulation, robotics work cells, control systems, Java, C++, Python
Preferred skills
reinforcement learning, behavior cloning, sim-to-real transfer, contact-rich manipulation, force/torque control, constrained motion planning, publications in top robotics/ML venues
Technologies
Java, C++, Python
Responsibilities
Design and deploy motion planning and control algorithms on production robotic systems; Partner with perception and hardware experts to create integrated systems; Contribute to learned manipulation behaviors and sim-to-real deployment; Write production-quality code for scalable, real-time implementations; Validate algorithms on hardware via simulation and real-world testing; Analyze experimental results to drive systematic improvements; Champion Amazon in academia through publications and presentations
Seniority
Senior, hands-on IC