Senior Research Scientist, World Action Modeling
Core
Design and implement generative world action modeling solutions to simulate future world states and generate policies for autonomous vehicles.
Role type
Senior Research Scientist (Generative AI / World Models)
Builds
Scalable data pipelines, generative world action models, and evaluation strategies for Waymo's autonomous driving systems.
Domain
Autonomous driving, Generative AI, Reinforcement Learning
Deliverable
production ML models
Required skills
Deep Learning, Generative Models, Python, JAX, Tensorflow, Pytorch, Large-scale distributed training, Diffusion models, Autoregressive models
Preferred skills
Top-tier conference publications, Industry AI project contributions, Large world model training experience, Reinforcement Learning in simulation
Technologies
JAX, Tensorflow, Pytorch
Responsibilities
Design and implement generative world action modeling solutions; Develop and maintain scalable data pipelines; Design and implement evaluation strategies for world action models; Study and analyze model behaviors and architecture; Conduct cutting-edge research and communicate findings; Collaborate across Waymo/Alphabet to apply techniques to products.
Seniority
Senior, hands-on IC