Research Scientist, World Model Post-Training

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

In this hybrid role, you will report to a Software Engineering Manager.

You will:

• Conduct applied world model research and development
• Post-train Waymo’s world model
• Design compelling experiments by training and evaluating large generative models
• Present results to peers and leadership
• Leverage AI to write high quality code, unit tests, and documentation, and automate workflows

• Masters or PhD in deep learning in generative / world modeling
• 3+ years of experience with modern deep learning frameworks (e.g., JAX, TensorFlow 2, Pytorch)
• Experience with diffusion / flow matching models
• Experience with reinforcement learning
• Experience training large foundational models

Nice to have

• Experience with post-training of foundational models
• Experience with reinforcement learning for diffusion / flow matching models
• Experience with distillation
• Experience with autonomous vehicles