World Model Research Scientist- Physical AI
Core
Design and train generative world models to predict physically consistent futures from real-world sensor data for autonomous trucking.
Role type
Research Scientist (Generative AI / World Models)
Builds
Large-scale generative world models for scalable closed-loop training and onboard autonomous driving systems.
Domain
Autonomous ground transportation / Generative AI / Computer Vision
Deliverable
production ML models
Required skills
Generative modeling, diffusion models, neural rendering, multi-view geometric consistency, multimodal sensor fusion, 3D scene representation, distributed training, Python, PyTorch
Preferred skills
Video synthesis, spatiotemporal attention, latent space design, action-conditioned generation, BEV grids, voxel fields, tri-planes
Technologies
PyTorch, Python, LiDAR, radar, camera sensors
Responsibilities
Design and train generative world models synthesizing multi-camera video and LiDAR; Research and implement conditional diffusion architectures for driving; Develop techniques for multi-view geometric consistency; Build methods for joint multimodal generation; Design evaluation frameworks for world model quality; Scale training pipelines for large datasets
Seniority
Senior, hands-on IC