Sr. Robotics Applied Scientist
Core
Develop tactile- and force-driven manipulation policies for highly dexterous, multi-fingered robotic hands and grippers to perform grasping and in-hand manipulation in unstructured, real-world environments.
Role type
Senior Applied Scientist (Robotics Manipulation) (via careerplan.io/jobs/10568603-sr-robotics-applied-scientist-at-amazon)
Builds
Robotic hands and grippers capable of autonomous grasping, dexterous re-orientation, and fine motor control.
Domain
Robotics, Reinforcement Learning, Tactile Sensing
Deliverable
production ML models
Required skills
Policy learning (RL/IL), Sim-to-real transfer, Tactile signal processing, Multi-modal sensor fusion, Robotics hardware deployment, Reward formulation, Code review
Preferred skills
Leading technical initiatives, Tactile hardware integration, Publication record in robotics/ML venues, Impedance/admittance control, Force/torque control, Robotics simulation stacks (Isaac, MuJoCo), Teleoperation pipelines
Technologies
Python, C++, Java, URDF, Isaac, MuJoCo
Responsibilities
Design and train manipulation policies leveraging tactile/force feedback; Drive sim-to-real transfer; Shape objectives and control strategies with hardware constraints; Build evaluation frameworks; Own scientific projects from concept to deployment; Collaborate with hardware/mechanical teams; Publish at top-tier venues; Mentor engineers.
Seniority
Senior, hands-on IC with mentorship