Machine Learning Engineer, Simulation Full Time

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve everyone’s access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.

At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people’s lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The Simulator team builds state of the art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning extensively to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, weather etc. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout various scenarios to subject our driver to.

We are planning to set up a team in London UK to work closely with the teams in MTV and Oxford to build these foundation models out and to integrate them into various evaluation and training products. We are seeking research engineers to work on these exciting problems.

In This Research Engineering Role, You’ll

• Be part of a world class research engineering team to advance the state of the art of ultra realistic AV simulations using foundation models
• Collaborate with teams in Waymo Oxford to use large models to improve sim realism
• Design experiments that push the frontiers of AV simulations
• Develop metrics that measure the realism of simulated worlds
• Train and evaluate large models and integrate them into the simulator and its downstream applications
• Help hire outstanding research engineers from diverse backgrounds
• Be a part of a high performing, collaborative research engineering team that takes research ideas and productionizes them

Preferred Qualifications

• Strong background and experience in applied Deep Learning
• Strong coding and design skills
• Experience in solving complex production problems using state of the art ML techniques
• Experience in taking research to production
• Expertise in Data Analysis or Data Science
• Experience in AV a plus

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

£117,000—£126,000 GBP

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.

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Note: Upon hire, all employees are required to submit proof of legal right to work, consistent with applicable law. Waymo also participates in the E-Verify program.

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