Senior Machine Learning Engineer (Reinforcement Learning/World Model)

What this role involves

This Senior Machine Learning Engineer role focuses on designing, implementing, and optimizing reinforcement learning algorithms for robotic systems in dynamic, unstructured environments. The position involves developing RL policies, integrating with robot control systems, and collaborating with perception teams, with optional remote work from Columbus, OH.

Skills this posting asks for

• reinforcement learning
• robotic control
• motion planning
• sim-to-real pipelines
• domain randomization
• transfer learning
• python
• pytorch
• tensorflow
• simulation environments
• isaac gym
• gazebo
• mujoco
• pybullet
• probability
• statistics
• optimization
• ml model deployment
• embedded systems
• real-time systems

Requirements

• Level: senior
• Remote policy: remote

From the employer’s posting

Build the Path Forward At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries.…