Sundayy
Machine Learning Engineer
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About The Company
Waymo is a pioneering autonomous driving technology company with a mission to become the world's most trusted driver. Established as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and saving lives by reducing traffic-related fatalities. The company’s innovative approach has led to the deployment of a fully autonomous ride-hail service powered by the Waymo Driver, which has autonomously completed over ten million rider-only trips across the United States. With over 100 million miles driven on public roads and tens of billions in simulation, Waymo continues to push the boundaries of autonomous vehicle technology, operating across more than 15 states. The company's commitment to safety, innovation, and reliability positions it at the forefront of the autonomous driving industry, transforming transportation and improving safety standards worldwide.
About The Role
Waymo is seeking a talented and experienced Research Engineer to join its newly established London-based team within the DUE Machine Learning division. This role is integral to building and operating scalable machine learning and data systems, simulation workflows, and insight tools that enhance the evaluation and development of autonomous vehicle technology. The successful candidate will collaborate closely with teams in Oxford and MTV to develop foundational models and integrate them into various evaluation and training products. You will be part of a world-class research engineering team dedicated to advancing ultra-realistic autonomous vehicle simulations using cutting-edge foundation models. Your work will involve designing experiments that push the frontiers of simulation realism, developing metrics to evaluate these environments, and training large models to improve the accuracy and effectiveness of autonomous vehicle testing. This hybrid role reports to an Engineering Manager and offers the opportunity to contribute to innovative research that directly impacts the safety and performance of Waymo’s autonomous systems.
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Qualifications
- Minimum of 7+ years of experience in applied Deep Learning
- Strong coding and design skills with extensive experience in software development
- Proven expertise in solving complex production problems using state-of-the-art machine learning techniques
- Experience transitioning research innovations into scalable production systems
- Background in Data Analysis or Data Science
- At least 1+ years of people management experience
- Advanced degree in Computer Science, Electrical Engineering, or related fields is preferred
Responsibilities
- Collaborate with research and engineering teams to enhance the realism of autonomous vehicle simulations using foundation models
- Design and execute experiments to explore and advance the capabilities of AV simulation environments
- Develop and refine metrics to quantitatively measure the realism and effectiveness of simulated worlds
- Train, evaluate, and optimize large-scale models, integrating them into simulators and downstream applications
- Contribute to the hiring process by identifying and attracting outstanding research engineers from diverse backgrounds
- Translate innovative research ideas into scalable, production-ready solutions
- Participate in cross-functional collaboration to improve simulation workflows and evaluation metrics
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Benefits
- Competitive base salary within the range of £155,000—£163,000 GBP
- Participation in Waymo’s discretionary annual bonus program
- Equity incentive plan providing long-term rewards
- Comprehensive benefits package including health, dental, and vision insurance
- Opportunities for professional growth and development within a pioneering technology company
- Flexible hybrid working arrangements
Equal Opportunity
Waymo is an equal opportunity employer committed to fostering an inclusive environment. We welcome applications from candidates of all backgrounds and experiences, and we do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected status. We believe diversity drives innovation and are dedicated to creating a workplace where everyone can thrive.
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