Path Robotics
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.
Headquarters
Columbus, Ohio, United States
Company Size
51-200 employees
Founded
2014
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.
HII Teams with Path Robotics to Integrate Physical AI into Manned and Unmanned Shipbuilding
3 weeks ago
Columbus AI robotics company signs R&D deal with nation's largest shipbuilder
3 weeks ago
Path Robotics lands shipyard deal with autonomous vessel maker Saronic
4 weeks ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Path Robotics.
Path Robotics didn’t post a salary, so this is our estimate from similar listings.
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