Senior ML Systems Engineer - AV Data & Labeling Platforms

General Motors; Salt Lake City (UT); Hybrid; USD 175,000 - 261,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid vacation & holidays

Job summary

General Motors is seeking an engineer for its Data Labeling Engineering team to help self-driving vehicles understand the world. You will design scalable labeling experiences and end‑to‑end pipelines powering autonomous vehicle ML models.

Expect work at the intersection of software, data engineering, and AI/ML with modern stack including TypeScript/React, Python, GraphQL, Golang, and ML services. You will build high‑impact labeling tools, automate data workflows, and collaborate with ML

Qualifications

• Proficiency in Python, TypeScript, Go, React, SQL, GraphQL, and WebGL.
• Experience shipping end-to-end features in production systems.
• Strong understanding of APIs, data modeling, and database design.

Responsibilities

• Build high-impact labeling experiences for autonomous vehicle data.
• Design, implement, and test scalable full-stack features used by ML teams.
• Develop tooling for labeling workflows, automation, and data quality insights.
• Collaborate with ML engineers to enable ML-driven data annotation and autolabeling.
• Drive end-to-end ownership of critical projects from design through rollout.

Skills

Python

TypeScript

Go

React

SQL

Redux

GraphQL

WebGL

Distributed systems

APIs

Job description

General Motors is seeking an engineer for its Data Labeling Engineering team to help self-driving vehicles understand the world. You will design scalable labeling experiences and end‑to‑end pipelines powering autonomous vehicle ML models.

Expect work at the intersection of software, data engineering, and AI/ML with modern stack including TypeScript/React, Python, GraphQL, Golang, and ML services. You will build high‑impact labeling tools, automate data workflows, and collaborate with ML