Research Scientist, World Model Post-Training
Waymo · Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
About this role
**Waymo — Research Scientist, World Model Post-Training** Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can be applied across a range of vehicle platforms and product use cases. **About the team** The Waymo AI Foundations team develops machine learning solutions for open problems in autonomous driving, with the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. **Role (Hybrid)** 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 **You have:** - 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 **We prefer:** - Experience with post-training of foundational models - Experience with reinforcement learning for diffusion / flow matching models - Experience with distillation - Experience with autonomous vehicles **Compensation (US)** - **Expected base salary range:** **$213,000 — $263,000 USD** - Waymo employees may also be eligible for a discretionary annual bonus, equity incentive plan, and benefits (subject to eligibility requirements).
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