Senior Machine Learning Engineer, Neural Simulators

Pathrobotics

Columbus, Ohio, USA
Remote
Build learned world model of welding process
Develop multimodal neural simulators
Design, train, evaluate large-scale generative models
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning

Job Summary

  • We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning.
  • This role sits at the intersection of generative modeling, robotics, and applied physics.
  • You’ll have space to pursue research tracks that run in parallel with production development.

Matching Summary

We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning.

Skills & Requirements

Must-have

  • Build learned world model of welding process
  • Develop multimodal neural simulators
  • Design, train, evaluate large-scale generative models
  • Integrate neural simulator into RL pipelines
  • Experience building ML systems for robotics
  • Hands-on experience with world models/learned simulators
  • Strong Python skills with PyTorch or JAX

Nice-to-have

  • Comfortable with messy, real-world data
  • Pragmatic about imperfect ground truth
  • Excited by role blending research and impact
  • Willing to context-switch when needed

Key Requirements

  • Experience building and deploying ML systems for robotics
  • Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction
  • Comfortable training large models from scratch
  • Strong software engineer with solid Python skills
  • Experience in frameworks such as PyTorch or JAX

Work Rights

Not specified

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