Research Scientist, World Model Post-Training
Core
Conduct applied research and post-training for Waymo's world model to support autonomous driving systems.
Role type
Research Scientist (World Model Post-Training)
Builds
Large generative world models for autonomous driving
Domain
Autonomous driving / Generative AI
Deliverable
production ML models
Required skills
deep learning, generative modeling, world modeling, diffusion models, flow matching, reinforcement learning, large foundational model training
Preferred skills
post-training of foundational models, RL for diffusion/flow matching, model distillation, autonomous vehicle experience
Technologies
JAX, TensorFlow 2, PyTorch
Responsibilities
Conduct applied world model research and development, post-train Waymo's world model, design and execute experiments with large generative models, present results to peers and leadership, leverage AI for code generation and workflow automation
Seniority
Mid-Senior, hands-on IC