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About the Role

Waymo is seeking researchers and software engineers to develop ML techniques for evaluation systems and drive performance improvements within the DUE ML Core London team. This team builds and operates scalable ML systems, simulation workflows, and insight tools to enhance the evaluation and developer onboarding journeys for the Waymo Driver.

Responsibilities

• Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.
• Lead the implementation and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors.
• Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.
• Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
• Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.
• Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.

Requirements

• M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
• 7+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.
• Demonstrated expertise in deep learning, sequence modeling, and generative models.
• Strong publication record or history of impactful project delivery in RL or related areas.
• Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).
• Experience with large-scale distributed training and data processing.
• Proven ability to lead complex and ambiguous technical projects from conception to completion.

Skills

• Reinforcement Learning
• Deep Learning
• Generative Models
• Sequence Modeling
• Python
• JAX
• TensorFlow
• Large-scale distributed training
• Data processing
• Generative AI
• LLM
• VLM
• RLHF

Location

• London

Work Type

• Full-time

Experience Level

• 7+ years of hands-on experience
• 10+ years of relevant experience

Education Level

• M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.

Salary/Compensations

• £155,000—£163,000 GBP

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 DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys.
• By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.