Senior Machine Learning Engineer (RL/World Models)
Core
Build action-conditioned world models and reinforcement learning methods to forecast welding process changes and optimize manufacturing outcomes for robotic systems.
Role type
Senior IC machine learning engineer (RL/World Models)
Builds
Scalable training and inference systems for embodied intelligence in manufacturing
Domain
Robotics + Manufacturing (Welding)
Deliverable
production ML models
Required skills
Reinforcement learning, World models, Python, PyTorch, TensorFlow, Simulation environments (MuJoCo, Isaac Gym), Probability, Statistics, Optimization
Preferred skills
Production ML deployment, Multimodal modeling, Latent dynamics, Video prediction, Generative modeling, Spatiotemporal representations
Technologies
PyTorch, TensorFlow, Python, MuJoCo, Isaac Gym
Responsibilities
Build action-conditioned world models forecasting welding process changes; Develop multimodal models using video, 3D scans, thermal readings, and robot state; Investigate latent dynamics, video prediction, and generative modeling; Integrate models into RL, planning, and synthetic data pipelines; Develop RL methods to improve welding decisions and process outcomes; Train and assess policies using learned world models and real-world experiments; Convert research prototypes into reliable deployment systems
Seniority
Senior, hands-on IC
