Senior Machine Learning Engineer, Neural Simulators
Path Robotics(1 month ago)
About this role
Senior Machine Learning Engineer to lead development of a neural welding simulator that models visual and physical dynamics for large-scale RL training. The role combines generative modeling, robotics, and applied physics and is research-heavy while remaining grounded in production and deployment. You will define core learning infrastructure, run parallel research and production tracks, and validate simulator performance against real-world welding data.
Required Skills
- World Models
- Multimodal Modeling
- Generative Modeling
- Dynamics Prediction
- Reinforcement Learning
- Policy Training
- Experimentation
- MLOps
- Productionization
- Sim-to-Real
+10 more
About Path Robotics
path-robotics.comPath 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.
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