Senior Machine Learning Engineer - Reinforcement Learning
Core
Design, implement, and optimize reinforcement learning algorithms to enable intelligent agents for robotic control, motion planning, and adaptive behaviors in dynamic, unstructured environments.
Role type
Senior IC machine learning engineer (reinforcement learning)
Builds
RL policies integrated with robot control systems for hardware deployment
Domain
Robotics / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning algorithm design, Python, PyTorch or TensorFlow, simulation environments (MuJoCo, Isaac Gym), sim-to-real transfer learning, embedded system optimization, probability and statistics
Preferred skills
Experience deploying RL on real-world systems, experience fusing RL with vision/sensor data
Technologies
Isaac Gym, Gazebo, MuJoCo, PyBullet, Python, PyTorch, TensorFlow
Responsibilities
Design and evaluate RL algorithms for robotic control and motion planning; Develop and integrate RL policies with robot control systems; Collaborate with perception teams to fuse RL with sensor data; Build and maintain sim-to-real pipelines; Conduct experiments on physical robots with safety protocols; Optimize model efficiency for embedded robotic systems
Seniority
Senior, hands-on IC
