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Zoox

Staff / Senior Staff Machine Learning Engineer - Collision Avoidance System

  • Foster City, California, United States
  • Onsite
  • Posted 8d ago
  • Full-time
  • Staff / Principal

Salary

$291K - $409K

From the employer’s posting

Pays more than 96% of 85 staff machine learning engineer listings in USD.

This job
$291k–$409k
Typical
$276k
Most pay
$254k–$292k
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Full job description

The Collision Avoidance System (CAS) is Zoox's independent safety layer. It runs alongside our main autonomy stack, constantly watches for imminent collisions, and reacts within milliseconds to prevent or reduce them. By using different methods and data paths than the main stack, CAS gives our robotaxi a second, diverse line of defense in the most challenging dense urban environments.

As a Staff or Senior Staff engineer, you will be the technical lead for CAS algorithms, with a focus on CAS perception. You will shape how CAS sees the world, combining interpretable geometric methods with machine learning, and you will own the architecture and roadmap that take these capabilities from idea to safe, real-time deployment on our fleet. Your work will directly affect the safety of every rider and road user around our vehicles.

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Salary

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