Senior Machine Learning Engineer, Simulation

the company 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, the company has focused on building the the company Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The the company Driver powers the company’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The the company 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 the company 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 have 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 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 the company 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:

• 4+ years experience in applied Deep Learning

• 4+ 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. the company employees are also eligible to participate in the company’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

£123,000—£129,000 GBP

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