Machine Learning Engineer, Reinforcement Learning

Path Robotics

2 months ago

3.9 on Glassdoor

Columbus, OH

Onsite

Full Time

Senior

1 applicant

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About this role

The role is a Machine Learning Engineer focused on reinforcement learning to develop adaptive, real-world robotic systems. The position involves collaborating with cross-functional teams to advance sim-to-real development, validate algorithms on physical robots, and productionize ML models for embedded hardware. The team emphasizes building reliable, safety-aware systems that operate under compute and real-time constraints.

Skills

Qualifications

Master's in Computer Science, Robotics, Machine Learning, or Related FieldPhD in Computer Science, Robotics, Machine Learning, or Related FieldEquivalent Practical Experience

About Path Robotics

path-robotics.com

Path Robotics builds Intelligent Welding Cells — integrated robotic welding systems powered by its Obsidian-1 AI — to automate metal fabrication and address the skilled labor shortage in manufacturing. Their cells combine robotics, machine vision, and autonomous welding software to deliver up to 4x productivity and roughly 30% lower cost with options that can require no upfront capex. The company focuses on making welding automation easy to deploy across industries that rely on high-volume or complex weld production. Founded in 2018, Path offers demos and customer support to accelerate shop-floor adoption.