staff Machine Learning Engineer tech_leadership
$251,000 – $310,000
USD per year

About this role

Waymo is hiring a staff-level Machine Learning Engineer based in Mountain View, CA | San Francisco, CA. The posting calls out experience with Python, TensorFlow, PyTorch, LLMs. Compensation is listed at $251,000–$310,000 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
staff
Track
Tech leadership
Employment
Full-time
Location
Mountain View, CA | San Francisco, CA
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 Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We are the software engineering team responsible for Waymo's high-level motion planning, encoding Waymo's desired driving behaviors onboard and offboard. Our mission is to build the driving logic needed to deliver a safe, excellent Waymo Driver at scale. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.

This is an excerpt. Read the full job description on Waymo careers →
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