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Data & AnalyticsHybrid

Senior Staff Machine Learning Engineer - Perception

Zoox · Hybrid

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Last seen by MeritLog September 10, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Zoox's Lever job board and last checked it on September 10, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
$277,000 - $389,000
Location
Boston, MA

Hiring context

How this role compares at Zoox

Zoox has 243 live roles in MeritLog’s catalog across 11 job families, and 46 of them are in data & analytics. 227 of those listings publish a pay range, a disclosure rate of 93%.

This role's posted range of $277,000 - $389,000 sits above 95% of the 220 other Zoox roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.   As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.

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