Machine Learning Engineer, Waymo
Simulation
£90-97k
+ Annual bonus program + Equity
Autonomous driving technology
Open for applications
Autonomous driving technology
1001+ employees
Open for applications
£90-97k
+ Annual bonus program + Equity
1001+ employees
Company mission
To make it simpler and safer for people to move things and themselves around.
Role
Who you are
- 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
What the job involves
- 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
Salary benchmarks
Our take
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.
With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$5.6bn
SERIES C
Jun 2021
$2.5bn
GROWTH EQUITY VC
Total funding: $11.1bn
Company HQ
Mountain View, CA
Leadership
Dmitri Dolgov
(Co-CEO, not founder)Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.
Tekedra N. Mawakana
(Co-CEO, not founder)Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.
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