Staff Machine Learning Engineer (TLM), Driver Understanding and Evaluation

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 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. 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.

Responsibilities

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

Requirements

1+ years of people management experience

Nice to have

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

Benefits

Medical, dental and vision insurance; Mental wellness support; Gym membership; Special wellness programs; Competitive compensation; Bonus opportunities; Equity; Employee provident fund; Perks and employee discounts; Work from another location for four weeks per year; On-site or hybrid work model; Remote working opportunities; Paid time off; Bereavement leave; Sick leave; Parental leave; Discretionary annual bonus program; Equity incentive plan; Generous Company benefits program