ML Systems Engineer — Self-Driving Labeling & Tools

FluidJobs; United States; Remote; USD 90,000 - 192,000; Full time

Job summary

General Motors is seeking an engineer for Data Labeling Engineering to design, build, and operate labeling tools and pipelines powering autonomous vehicle ML models. You will work across software, data, and ML domains to deliver scalable ground-truth data and end-to-end projects.

Join a modern stack with TypeScript, React, GraphQL, Python, Golang, and Airflow, collaborating with ML engineers, Ops, Product, and Data Science to ship reliable solutions at scale.

Qualifications

• 2+ years of experience building robust web applications.
• Bachelor's degree or higher in Computer Science or related field, or relevant work experience.
• Hands-on experience leveraging AI tools to accelerate understanding, implementation, and delivery of customer value.
• Proficiency with TS, React, Redux, GraphQL, WebGL, or similar frontend technologies.
• Strong fundamentals in OO design, data structures, algorithms, and best practices (testing, code review, observability, CI/CD).
• Experience developing and operating cloud-based applications.
• Experience with A/B testing and telemetry/observability systems.

Responsibilities

• Build high-impact labeling experiences with scalable UX and services.
• Level up ML data workflows with automation and tooling for insights.
• Apply ML to labeling with pre-labeling, autolabeling, active learning loops.
• Own projects end-to-end from framing to rollout.
• Collaborate with AV stack teams to translate requirements into workflows and APIs.
• Champion AI-assisted engineering and modern development workflows.

Skills

Self-driving tech

Learn new technologies

Shipping end-to-end products

Communication skills

User-centered thinking

Education

Bachelor's degree or higher in Computer Science or related field

Tools

TypeScript

React

Redux

GraphQL

WebGL

Python

Golang

Airflow

Job description

General Motors is seeking an engineer for Data Labeling Engineering to design, build, and operate labeling tools and pipelines powering autonomous vehicle ML models. You will work across software, data, and ML domains to deliver scalable ground-truth data and end-to-end projects.

Join a modern stack with TypeScript, React, GraphQL, Python, Golang, and Airflow, collaborating with ML engineers, Ops, Product, and Data Science to ship reliable solutions at scale.