2027 Summer Intern, PhD, Research, World Action Model
Hybrid
Core
Research, implement, and evaluate world action models for end-to-end autonomous driving to improve the Waymo World Model.
Role type
PhD Research Intern (Autonomous Driving / World Models)
Builds
Waymo World Model (simulation environment for autonomous driving)
Domain
Autonomous Driving / Machine Learning / Robotics
Deliverable
research
Required skills
Deep learning model training and evaluation, Python, PyTorch/JAX/TensorFlow, Neural network architectures, Reinforcement learning, Generative modeling, Bayesian inference
Preferred skills
Diffusion/flow matching models, World action models, Autonomous driving datasets, Open-source foundation models
Responsibilities
Research and implement world action models, Collaborate with research and engineering teams, Conduct cutting-edge research and publish findings
Seniority
Intern, PhD candidate