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Waymo

Staff Machine Learning Engineer, Simulation

Waymo

Published 11 May 2026
London, UK
155K - 163K GBP Annual
Full Time

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Role Highlights

Languages used

Key skills

Deep Learning
Data Analysis
Machine Learning
Data Science
Control Systems
foundation model
Testing
DataSets
Research

Tools, Libraries and Frameworks

IOS

Description

The research engineer will contribute to the development of ultra-realistic autonomous vehicle simulations using foundation models. The role involves designing experiments to advance simulation capabilities and creating metrics to assess the realism of simulated environments. Responsibilities include training and evaluating large models for integration into simulator products and downstream applications. The engineer will collaborate with international teams to productionize research ideas. Additionally, the role requires assisting in the recruitment of new engineering talent.

Required Qualifications and Skills

The role requires a minimum of five years of experience in applied Deep Learning along with five years of coding and design expertise. Candidates must demonstrate a background in solving complex production problems using state-of-the-art machine learning techniques. Proficiency in Data Analysis or Data Science is required. Furthermore, the position necessitates experience in transitioning research concepts into production environments.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Waymo

Description

Waymo is an autonomous driving technology company that began as the Google Self-Driving Car Project in 2009. With a mission to enhance mobility and safety, Waymo has developed the Waymo Driver, powering their fully autonomous ride-hailing and local delivery services. To date, Waymo has achieved over 20 million miles of autonomous driving on public roads across 25 US cities and 20 billion miles of simulation testing. The company emphasizes mission-driven innovation and a collaborative culture, aiming to improve access to mobility while prioritizing safety and community impact.

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