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

Location: London, UK

Department: Simulation (7XW)

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. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. 

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, and have an incessant drive to improve the performance of our technology stack.

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 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
• 1+ years of people management experience

We prefer:

• 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