Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware
Job Summary
Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware.
Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning policies on the robot.
Mentor junior engineers by providing technical guidance, conducting insightful code reviews, and sharing best practices in reinforcement learning and software development.
Matching Summary
Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware.
Skills & Requirements
Must-have
state-of-the-art RL algorithms
physical hardware deployment
Python for rapid prototyping
C++ for deployable code
robot dynamics and controls theory
Nice-to-have
human-centered robotics company
cutting edge of embodied AI
passion for real-world hardware
Key Requirements
5+ years with common RL frameworks
2+ years industry experience preferred
PhD or MS in Computer Science, Robotics, or related field
proven track record deploying learning-based policies on physical robots