Machine Learning Engineer, Simulation
Description For Machine Learning Engineer, Simulation
Waymo is an autonomous driving technology company with a mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases.
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.
As a Machine Learning Engineer on the Simulation team, you'll be working with teams across London, Oxford, and Mountain View to build and integrate foundation models that enhance simulation realism. You'll be designing cutting-edge experiments, developing metrics for simulation quality, and helping productionize research ideas. This is an opportunity to work on challenging technical problems while directly contributing to the safety and effectiveness of autonomous vehicles.
The role offers competitive compensation including a base salary range of £93,000—£100,000 GBP, along with bonus opportunities and equity. You'll enjoy comprehensive benefits including top-tier health insurance, mental wellness support, and flexible work arrangements with the ability to work remotely for up to 4 weeks per year.
Join us in pushing the boundaries of autonomous vehicle simulation technology while working alongside world-class researchers and engineers. Your work will directly impact the development and safety validation of Waymo's autonomous driving technology, helping to make transportation safer and more accessible for everyone.
Responsibilities For Machine Learning Engineer, Simulation
- 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
Requirements For Machine Learning Engineer, Simulation
- 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
Benefits For Machine Learning Engineer, Simulation
- Top-notch medical, dental and vision insurance
- Mental wellness support
- Gym membership
- Special wellness programs
- Competitive compensation
- Bonus opportunities
- Equity
- Employee discounts
- Flexibility to work from another location for four weeks per year
- Paid time off
- Bereavement leave
- Sick leave
- Parental leave
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