Senior Machine Learning Engineer, Neural Simulators
Core
Build neural world models and learned simulators for robotic welding to enable reinforcement learning in complex manufacturing environments.
Role type
Senior IC machine learning engineer (neural simulators)
Builds
Learned world models, multimodal neural simulators, and RL training pipelines for robotic welding
Domain
Robotics, manufacturing, applied physics, generative modeling
Deliverable
production ML models
Required skills
world models, learned simulators, video generation, 3D modeling, dynamics prediction, large-scale model training, generative modeling, spatiotemporal representations, RL pipeline integration, sim-to-real transfer
Preferred skills
multimodal data integration (3D scans, video, thermal, electrical), hypothesis-driven experimentation, MLOps stack ownership
Technologies
video prediction, latent world models, 3D representations, RL pipelines
Responsibilities
Build learned world models predicting welding system behavior; Develop multimodal neural simulators; Design and train large-scale generative/dynamics models; Integrate simulators into RL pipelines; Run parallel research tracks; Partner with data/MLOps teams; Translate prototypes to production code; Validate simulator performance against real-world data
Seniority
Senior, hands-on IC
