Before you apply
Listed location: Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Waymo; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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.
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.
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.
Skills mentioned
Categories
Frequently asked questions
Is the Research Scientist, World Model Post-Training position at Waymo remote?
The Research Scientist, World Model Post-Training role at Waymo does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Research Scientist, World Model Post-Training role?
Waymo is hiring for a full-time Research Scientist, World Model Post-Training position.
Which skills are mentioned for the Research Scientist, World Model Post-Training job at Waymo?
Detected skill labels include PyTorch, TensorFlow, JAX, Reinforcement Learning, Diffusion. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Research Scientist, World Model Post-Training position at Waymo?
You can apply for the Research Scientist, World Model Post-Training role directly through Waymo's official application link provided on this page.
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