layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
ML Systems Engineer, Data Labeling Engineering - Early Career
General Motors
Sunnyvale, California, United States of America; GM Automation - Sunnyvale - GM Automation - Sunnyvale
Source: General Motors careers · View original posting
- Employment
- full time
Employer job description
From General Motors's posting. “We” and “our” refer to the employer.
Job Description
About the Team
Help teach our self-driving vehicles how to see and understand the world.
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . We operate in the intersection of software engineering , data engineering , and AI/ML , defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full ‑ stack architecture including TypeScript/React, Python, GraphQL , Golang , and ML model services , which powers data ‑ annotation pipelines and machine ‑ led training data solutions at foundation ‑ model scale . We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science , and other ML