2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)
Core
Implement, train, and evaluate generative models (diffusion, flow matching, transformers) for video and physical world simulation to improve Waymo's autonomous driving technology.
Role type
Summer Intern, Machine Learning (Simulation/World Models)
Builds
Simulation pipelines for the Waymo Driver
Domain
Autonomous driving, generative AI, computer vision
Deliverable
production ML models
Required skills
deep learning, generative modeling (diffusion, flow matching, VAEs, transformers), Python, PyTorch or JAX, computer vision
Preferred skills
video generation, world models, 3D/4D scene representations, 3D computer vision, multimodal sensor data (Camera, LiDAR, Radar), open-source contributions, academic publications
Responsibilities
Implement and evaluate generative models for simulation; experiment with unified 3D/4D spatiotemporal representations; investigate conditioning and distillation methods; partner with mentors to adapt foundation world models
Seniority
Intern