Reinforcement Learning Algorithms Engineer
Core
Develop and deploy advanced whole-body control policies for autonomous quadruped robots, focusing on dynamic locomotion, balance, recovery, and manipulation using large-scale physics simulation.
Role type
Senior IC reinforcement learning algorithms engineer (robotics)
Builds
Robust control policies for autonomous quadruped robots
Domain
Robotics + Reinforcement Learning
Deliverable
production ML models
Required skills
Python, reinforcement learning (policy-gradient methods like PPO), simulation-based algorithm development and evaluation
Preferred skills
computer vision, ROS 2, embedded computing, physical robotic system deployment
Technologies
Python, ROS 2, physics simulation environments
Responsibilities
Design reward functions and curricula, develop motion imitation techniques, transfer policies from simulation to real hardware, collaborate with robotics and mechatronics teams for validation
