Waymo
Research Scientist, World Model Post-Training
$213K–$263K
Mountain View, CA, USA +5 · Full-time · Posted Sep 22, 2026
- Location
- Mountain View, CA, USA
San Francisco, CA, USA
New York, NY, USA
Mountain View, California, United States
New York, New York, United States
San Francisco, California, United States - Experience
- 3+ years of experience with modern deep learning frameworks.
- Education
- Master’s or PhD in deep learning in generative / world modeling.
About the job
Conduct applied world model research and post-train Waymo’s world model by designing experiments to train and evaluate large generative models.
What you'll do
- Conduct applied world model research and development and post-train Waymo’s world model.
- Design experiments to train and evaluate large generative models.
- Present results to peers and leadership; use AI to write code, unit tests, and documentation and automate workflows.
What they ask for
- Master’s or PhD in deep learning in generative / world modeling.
- 3+ years of experience with modern deep learning frameworks.
- Experience with diffusion / flow matching models.
- Experience with reinforcement learning and training large foundational models.
Nice to have
- Experience with post-training of foundational models and reinforcement learning for diffusion / flow matching models.
- Experience with distillation or autonomous vehicles.
Pay
$213,000 — $263,000 USD (base salary)
Tools
JAX, TensorFlow 2, Pytorch
AI focus
Applied world model research and post-training; training and evaluating large generative models, with reinforcement learning and diffusion / flow matching.
Model-written summary · the original posting is authoritative