Staff Machine Learning Engineer (TLM), Driver Understanding and Evaluation
London, UK
- Pay
GBP 155,000–163,000/yearAnnual period assumed — pay source
Salary Range £155,000—£163,000 GBP
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingTrain and evaluate large models and integrate them into the simulator
Design experiments that push the frontiers of AV simulations
Develop metrics that measure the realism of simulated worlds
Collaborate with Waymo Oxford to use large models to improve sim realism
Help hire research engineers
From the employer’s posting
Train and evaluate large models and integrate them into the simulator and its downstream applications
Design experiments that push the frontiers of AV simulations
Develop metrics that measure the realism of simulated worlds
Collaborate with teams in Waymo Oxford to use large models to improve sim realism
Help hire outstanding research engineers from diverse backgrounds
What you’ll bring
All qualificationsCore experience
- 1+ years of people management experience
- 7+ years experience in applied Deep Learning
- 7+ years coding and design skills
Preferred experience
- Experience solving complex production problems using state-of-the-art ML techniques
- Experience taking research to production
- Expertise in Data Analysis or Data Science
Qualification wording
1+ years of people management experience
7+ years experience in applied Deep Learning
7+ years coding and design skills
Experience solving complex production problems using state-of-the-art ML techniques
Experience taking research to production
Expertise in Data Analysis or Data Science
Posting record
Report an errorOpen 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 23, 2026 · 99 days ago
- Recorded sightings
- 173
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver.
We are planning to set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.
In this hybrid role, you will report to an Engineering Manager.
You will:
- Be part of a world class research engineering team to grow 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 collaborative research engineering team that takes research ideas and productionizes them
- 1+ years of people management experience
We prefer:
- 7+ years experience in applied Deep Learning
- 7+ years coding and design skills
- Experience solving complex production problems using state-of-the-art ML techniques
- Experience taking research to production
- Expertise in Data Analysis or Data Science
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.
Source details
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- Pay
Salary Range £155,000—£163,000 GBP
- Location & working pattern
London, UK
We are planning to set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. In this hybrid role, you will report to an Engineering Manager. You will:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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