Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles. Take a ride now. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- B.S. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
- 7+ years of hands-on experience building machine learning systems
- Experience designing, scaling, training, deploying, and optimizing large-scale ML systems from data to model
- Strong coding experience in Python and/or C++
- Experience with ML frameworks such as JAX, TensorFlow, or PyTorch, including both the user-facing APIs and their internals
- Proven ability to set technical direction and influence partner teams in ambiguous problem spaces
More about this role
Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and...
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