Path Robotics
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Columbus, Ohio or Remote +1 · Remote · Senior · Full-time · Posted Jul 13, 2026
- Location
- Columbus, Ohio or Remote
Columbus, Ohio, United States - Education
- Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
About the job
Develop learned welding world models or reinforcement-learning methods that help robots predict, optimize, and improve manufacturing processes.
What you'll do
- Build action-conditioned models of welding dynamics and validate predictions against real-world data.
- Develop and evaluate reinforcement-learning policies for welding decisions using learned models, simulation, offline data, and controlled experiments.
- Turn research into reliable training, evaluation, and deployment systems, collaborating across robotics, controls, welding, and ML teams.
What they ask for
- Experience developing and deploying reinforcement-learning algorithms on real-world systems.
- Proficiency in Python and deep-learning frameworks such as PyTorch or TensorFlow.
- Experience with simulation environments such as MuJoCo or Isaac Gym.
- Solid understanding of probability, statistics, and optimization; experience training and deploying ML models in production systems.
Tools
Python, PyTorch, TensorFlow, MuJoCo, Isaac Gym
AI focus
Develop neural welding world models and reinforcement-learning methods for robotic welding, including prediction, planning, process optimization, policy evaluation, and deployment.
Model-written summary · the original posting is authoritative