mid Machine Learning Engineer ic
$175,000 – $215,000
USD per year

About this role

Waymo is hiring a mid-level Machine Learning Engineer based in Mountain View, CA | San Francisco, CA | New York City, NY. The posting calls out experience with Python, C, TensorFlow, PyTorch. Compensation is listed at $175,000–$215,000 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA | San Francisco, CA | New York City, NY
Department
Planner (7LU)

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Job description

from Waymo careers

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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.

You will:

  • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo’s business.
  • This is an excerpt. Read the full job description on Waymo careers →
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