Summary
About this role
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 Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the 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.
In this hybrid role you will report to a Technical Lead Manager.
You will:
Conduct applied foundation model research and development
Design compelling experiments by training and evaluating large deep learning models
Present results to peers and leadership
Write high quality code, unit tests, and documentation
You have:
Masters or PhD in deep learning in behavior and agent modeling or simulation
- Proficiency in Python
3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable.
We prefer:
Experience with:
- Generative modeling
- LLMs or VLMs (e.g., Gemini, Llama, GPT)
- Post-training, incl. reinforcement learning
- Distillation
- Transformer models
- Autoencoders and embeddings
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.
Other facts
About Waymo
On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
What you'll do
- The role involves conducting applied research and development for foundation models, which includes designing compelling experiments by training and evaluating large deep learning models. Responsibilities also cover presenting results to peers and leadership, alongside writing high-quality code, unit tests, and documentation.
Ready to join Waymo?
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