Senior Machine Learning Engineer (Reinforcement Learning)

Location: Fully remote in the United States, or onsite in Columbus, Ohio

Company

Production-first robotics organization developing embodied intelligence systems for heavy manufacturing, with more than 50 autonomous robotic cells in operation.

What you will do

• Define the technical direction for reinforcement learning approaches that optimize welding decisions, weld quality, and cycle time.
• Define state, observation, action, and reward representations based on measurable manufacturing objectives.
• Develop offline, model-based, and constrained reinforcement learning methods.
• Train and evaluate policies using learned world models, traditional simulation, and offline datasets.
• Diagnose reward exploitation, unsafe behavior, and policy instability while translating research prototypes into dependable production systems.
• Design methods that address uncertainty, distribution shift, delayed outcomes, and sparse reward signals in physical systems.

Requirements

• Master's or PhD in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.
• Proven experience developing and deploying reinforcement learning algorithms on real-world physical systems.
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Solid understanding of probability, statistics, and optimization.
• Experience with simulation environments such as MuJoCo or Isaac Gym is preferred.
• Ability to collaborate across functional teams and establish reliable evaluation methods.

Nice to have

• Experience with MuJoCo or Isaac Gym.
• Experience training policies for complex, poorly modeled physics.

Culture & Benefits

• Hands-on individual contributor role focused on production deployment rather than laboratory prototypes.
• Opportunity to work at the intersection of classical robotics and Physical AI.
• Compensation aligned with New York and San Francisco market rates.
• Full support for H1B transfers and Green Card sponsorship.
• UK candidates must already hold a valid US work visa.