Machine Learning Technical Lead and Manager

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, 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 setting up a team in London UK to work with the teams in MTV and Oxford to build these foundation models and to integrate them into several evaluation and training products. We are looking for a Tech Lead Manager to build this team.

In this hybrid role, you will report to a Director of Simulation Realism.

In this role you'll:

• Build a world class research engineering team to improve the state-of-the-art of ultra realistic AV simulations using foundation models
• Collaborate with 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
• Hire outstanding research engineers from diverse backgrounds
• Build an experienced, collaborative research engineering team that takes research ideas and productionizes them

It's preferred if you have:

• Experience in applied Deep Learning
• Experience managing research engineering teams
• Coding and design skills
• Experience solving complex production problems using ML techniques
• Experience taking research to production
• Expertise in Data Analysis or Data Science
• Team building skills including hiring and mentoring

#LI-Hybrid