Staff Machine Learning Engineer, Simulation

Waymo; Greater London; On-site; GBP 150,000 - 162,000; Full time

Job summary

A leading autonomous technology company is looking for a skilled leader to establish a research engineering team in London. You will enhance ultra-realistic AV simulations through collaboration with top-tier teams. The ideal candidate should possess strong deep learning and team management skills. Experience in data science and problem-solving using machine learning techniques are crucial. A competitive salary is offered, reflecting the leading edge of technology in the autonomous driving sector.

Qualifications

• Strong background in applied Deep Learning.
• Experience managing research engineering teams.
• Expertise in Data Analysis or Data Science.

Responsibilities

• Build a world class research engineering team.
• Collaborate with teams to improve simulation realism.
• Design experiments for AV simulations.

Skills

Applied Deep Learning

Team Building Skills

Data Analysis

Coding and Design Skills

Problem Solving with ML techniques

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 Simulator team builds state of the art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning extensively to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, weather 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 various scenarios to subject our driver to.

We are planning to set up a team in London UK to work closely with the teams in MTV and Oxford to build these foundation models out and to integrate them into various evaluation and training products.

Responsibilities

• Build a world class research engineering team to advance the state of the art of ultra realistic AV simulations using foundation models
• Collaborate with the core Google DeepMind team in London and Waymo Oxford to use the 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
• Hire outstanding research engineers from diverse backgrounds
• Build a high performing, collaborative research engineering team that takes research ideas and productionizes them

Preferred qualifications

• Strong background and experience in applied Deep Learning
• Experience in managing research engineering teams
• Strong coding and design skills
• Experience in solving complex production problems using state of the art ML techniques
• Experience is talking research to production
• Expertise in Data Analysis or Data Science
• Team building skills including hiring and mentoring
• Experience in AV a plus

Salary Range

£150,000—£162,000 GBP