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ML Systems Engineer

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OtherMl Systems Engineer
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Overview

Job Description Help teach our self‑driving vehicles how to see and understand the world! The Data Labeling Engineering team designs, builds,

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OtherMl Systems Engineer

Help teach our self‑driving vehicles how to see and understand the world!

The Data Labeling Engineering team designs, builds, and operates high‑quality hybrid human/machine labeling tools and pipelines that power autonomous vehicle machine learning models across General Motors. We sit at the intersection of software engineering, data engineering, and ML, defining labeling strategies, tooling, and quality controls that create reliable training data at scale.

Our team builds the mission‑critical products that let people and machines add “ground truth” labels to roads, objects, and complex driving scenarios in sensor data from self‑driving cars. These tools are used by thousands of labelers and dozens of ML teams to train and evaluate the models behind advanced driver assistance and autonomous features.

We own a modern full‑stack architecture including TypeScript, React, GraphQL, Python, Golang, and ML model services, leveraging cloud platforms and workflow orchestration tools (e.g., Airflow) to power data‑annotation pipelines and ML‑led labeling solutions at foundation‑model scale. We partner closely with ML engineers, Operations, Product Management, Data Science, and other ML Platform groups.

This role is ideal for an engineer who wants to own meaningful pieces of the stack, grow toward technical leadership, and work directly on systems that unblock the next generation of AV models.

Responsibilities

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Requirements

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Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

What We Offer

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We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Location & Eligibility

Where is the job
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Who can apply
Same as job location

Listing Details

Posted
September 15, 2026
First seen
September 29, 2026
Last seen
September 29, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
23%
Scored at
September 29, 2026

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ML Systems Engineer