Research Scientist, World Model Post-Training
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Before you apply
Salary$213k – $263k
LocationMountain View (US-MTV-EMF680), New York City (US-NYC-CHEL), San Francisco (US-SFO-MKT555), Mountain View, CA, USA; San Francisco, USA; New York, NY, USA
Work modehybrid
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentAI Foundations (7SJ)
EquityIncluded
Company size10,000+ people
PostedSep 22, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Experience with post-training of foundational models
Experience with reinforcement learning for diffusion / flow matching models
Experience with distillation
Experience with autonomous vehicles
Skills
JAX
TensorFlow 2
Pytorch
diffusion models
flow matching models
reinforcement learning
Benefits
Discretionary annual bonus program
Equity incentive plan
Generous company benefits program
About the company
Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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.
About the role
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
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Benefits
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000—$263,000 USD