Machine Learning Engineer

About The Company Waymo is a pioneering autonomous driving technology company committed to transforming mobility and enhancing safety on our roads. Originating from the Google Self-Driving Car Project in 2009, Waymo has established itself as a leader in the development of self-driving vehicle technology. Its core mission is to be the world's most trusted driver, leveraging innovative AI and machine learning solutions to deliver safer, more accessible transportation. The company’s flagship product, the Waymo Driver, is the most experienced autonomous driver, having completed over ten million rider-only trips and driven more than 100 million miles on public roads across more than 15 states in the U.S. Additionally, Waymo's advanced simulation systems and data-driven approaches continuously improve the safety and reliability of autonomous vehicles, making a significant impact on reducing traffic-related fatalities. About The Role We are seeking a talented and experienced Research Engineer to join our newly established team in London, UK, focused on advancing our machine learning systems for autonomous vehicle evaluation and simulation. In this hybrid role, you will collaborate closely with teams in Oxford and MTV to develop foundational models that enhance simulation realism and evaluation accuracy. Your work will involve designing experiments, developing metrics, training large-scale models, and integrating these models into our simulation platforms. This position offers the opportunity to work at the forefront of autonomous vehicle technology, contributing to innovations that improve safety, efficiency, and the overall performance of Waymo’s autonomous driving systems. You will be part of a world-class research engineering team dedicated to transforming research ideas into scalable, production-ready solutions, all while helping to shape the future of mobility technology. Qualifications * Minimum of 7+ years of experience in applied Deep Learning * Proven coding and design skills with extensive experience in software development * Strong background in solving complex production problems using state-of-the-art machine learning techniques * Experience transitioning research into scalable production environments * Expertise in Data Analysis or Data Science * At least 1+ years of people management experience * Excellent collaboration and communication skills * Degree in Computer Science, Data Science, Engineering, or a related field (advanced degree preferred) Responsibilities * Join and contribute to a world-class research engineering team focused on enhancing ultra-realistic autonomous vehicle simulations using foundation models * Collaborate with teams in Waymo Oxford to leverage large models for improving simulation realism * Design and execute experiments to push the boundaries of autonomous vehicle simulation capabilities * Develop and refine metrics to evaluate the realism and accuracy of simulated environments * Train and evaluate large machine learning models and integrate them into simulation platforms and downstream applications * Participate in hiring efforts to attract outstanding research engineers from diverse backgrounds * Translate research ideas into scalable, production-grade solutions that advance the company’s technological capabilities Benefits * Competitive salary range of £155,000—£163,000 GBP * Participation in Waymo’s discretionary annual bonus program * Equity incentive plan to share in the company’s success * Comprehensive benefits package including health, dental, and vision insurance * Opportunities for professional growth and development in a pioneering technology environment * Flexible hybrid working arrangements to support work-life balance Equal Opportunity Waymo is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, disability, or any other status protected by applicable laws. We believe that a diverse team drives innovation and excellence, and we are dedicated to providing an environment where everyone can thrive and contribute to our mission of transforming mobility through autonomous driving technology.