Machine Learning Engineer, Waymo

• 2+ years experience in applied Deep Learning
• 2+ years coding and design skills
• Experience solving production problems using state-of-the-art ML techniques
• Experience with Machine Learning research

• 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, 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
• The team in London works with teams in Mountain View, California and Oxford, UK 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
• 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 London, Oxford and Mountain View and 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

Total funding: $11.1bn

Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.