Senior Machine Learning Engineer (Reinforcement Learning/World Model)

What the role actually is

Path Robotics is hiring a senior machine learning engineer for reinforcement learning and world-model work. The role is tied to robotic welding, where the system has to handle complex physical processes and variability on production floors.

The posting frames the work as embodied intelligence for manufacturing rather than generic ML infrastructure.

What you would work on

• Develop reinforcement-learning and world-model approaches for robotic welding
• Improve how Path's systems reason about fast, difficult-to-model manufacturing processes
• Turn real-world robot experience into better behavior and reliability
• Work with perception, reasoning, and control constraints in production settings

What they are asking for

• Strong ML background with reinforcement learning, world models, robotics, or embodied AI experience
• Ability to build systems that hold up outside controlled lab conditions
• Comfort with hard physical processes where simulation and reality do not perfectly match
• Ability to work remotely in the U.S. or from Columbus

Why this one is worth a look

Robotic welding is a demanding proving ground for embodied AI because the process is high-stakes, variable, and physically messy. Path's role is interesting because the learning work is pointed at a real manufacturing bottleneck.