Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Location: Columbus, Ohio or Remote within the United States

Company

hirify.global develops AI-driven robotic systems that adapt, learn, and perform in real-world manufacturing environments.

What you will do

• Build neural world models that predict welding dynamics, weld quality, and process outcomes from robot actions and process parameters.
• Develop multimodal models using video, 3D scans, thermal measurements, electrical signals, robot state, and manufacturing data.
• Develop reinforcement learning methods for optimizing welding quality, cycle time, reliability, energy use, and equipment constraints.
• Train and evaluate policies using learned world models, traditional simulation, offline datasets, and controlled real-world experiments.
• Quantify uncertainty, diagnose model or reward exploitation, and address distribution shift, unsafe behavior, and policy instability.
• Translate research prototypes into scalable and dependable training, evaluation, inference, and deployment systems in collaboration with robotics, controls, welding, data, and infrastructure engineers.

Requirements

• Master’s or PhD in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.
• 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.
• Strong understanding of probability, statistics, and optimization.
• Experience training and deploying machine learning models in production systems.

Culture & Benefits

• Daily free lunch.
• Flexible paid time off.
• Medical, dental, and vision coverage.
• Six weeks of fully paid parental leave, plus an additional six to eight weeks for birthing parents.
• 401(k) retirement plan through Empower.
• Employee referral bonuses and an inclusive, collaborative work environment.