Waymo

Waymo

Posted via Greenhouse

Senior Research Scientist, AI Foundations Recipes

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Oxford, UK United Kingdom - England - London
Work arrangement
Hybrid
Employment
Full-time
Experience
3+ years of experience with modern deep learning frameworks
Education
PhD in ML or related in AI/CS, or MSc with a strong academic publication record

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Role Summary

AI-generated

The AI Foundations team develops machine learning solutions for open problems in autonomous driving, including reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role partners with foundation model training teams to shape data and training strategies and evaluates their impact on the Waymo Driver.

What You'll Do

  • Determine optimal data mixtures, training curricula, objectives, and other design choices for foundation model capabilities.
  • Design global-scale pipelines for dynamically updating and reusing data mixtures.
  • Develop and deploy data-selection algorithms to find targeted subsets of data for fine tuning and RL.
  • Run large-scale empirical studies linking pre-training data composition to downstream post-training performance.
  • Collaborate with behavior, perception, and evaluation teams to test foundation models and measure their impact on Waymo Driver performance.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Strong statistical / ML knowledge; Proficiency in Python; 3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch

Required

  • Strong statistical / ML knowledge
  • Proficiency in Python
  • 3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch

Preferred

  • Proven track record of deploying ML models to production environments
  • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning or imitation learning,...
  • Autonomous driving experience
  • C++ experience

Original job description

Content provided by the employer

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 Senior Staff Software Engineer.

You will:

  • Partner with foundation model training teams to determine optimal data mixtures, training curricula, objectives, and other design choices that shape model capabilities.
  • Design global-scale pipelines for dynamically updating and reusing data mixtures as our understanding of model behavior evolves and real-world datasets are continually ingested.
  • Develop and deploy principled data-selection algorithms (e.g. influence estimation, proxy models, gradient similarity search) to find targeted subsets of data for fine tuning and RL.
  • Run large-scale empirical studies linking pre-training data composition to downstream post-training performance, translating those scaling laws into optimized production training runs.
  • Collaborate closely with behavior, perception, and evaluation teams to test these foundation models and measure their impact on the performance of the Waymo Driver.

You have:

  • PhD in ML or related in AI/CS, or MSc with a strong academic publication record
  • Strong statistical / ML knowledge
  • Proficiency in Python
  • 3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch

We prefer:

  • Proven track record of deploying ML models to production environments
  • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning or imitation learning, transformer models, autoencoders and embeddings
  • Autonomous driving experience
  • C++ experience

 

The expected base salary range for this full-time position 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.  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
£123,000£129,000 GBP
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.