Senior AI/ML Engineer

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA you are expected to report to that location three times a week. 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 Platform groups. This role is ideal for an engineer who wants end-to-end ownership of meaningful pieces of the platform, growth toward technical leadership, and direct impact on systems that unblock the next generation of AV capabilities.