Staff Machine Learning Engineer

New Yesterday

Waymo is an autonomous driving technology company with the mission to be the 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 Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists 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 multiple scenarios to subject our driver to.
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. In this hybrid role, you will report to an Engineering Director.
Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models
Design experiments that push the frontiers of AV simulations
Help hire outstanding research engineers from diverse backgrounds
5+ years coding and design skills
~ Experience solving complex production problems using state-of-the-art ML techniques
~ Expertise in Data Analysis or Data Science

#LI-Hybrid
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.
Apply
Location:
Wandsworth, Greater London
Salary:
£162,000,000
Job Type:
FullTime

We found some similar jobs based on your search