Staff Machine Learning Engineer, Simulation
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around.
You'll work with foundation models and machine learning to build state-of-the-art simulations for testing and training Waymo's autonomous driving system, modeling realistic agents, roads, and weather. The role involves designing experiments, developing realism metrics, training large models, and productionizing research across Waymo's simulator and evaluation platforms. You'll collaborate with teams in MTV and Oxford while helping build and lead a research engineering team in London, reporting to an Engineering Director.
Free Tailor for ATS: 10/10 runs left
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 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.), roads, traffic control systems, and weather. 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. We are looking for research engineers to work on these exciting problems.
In this hybrid role, you will report to an Engineering Director.
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
We prefer:
5+ years experience in applied Deep Learning
5+ 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
#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.
Salary Range
£155,000—£163,000 GBP