Senior ML Systems Engineer
Core
Design, build, and operate hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models.
Role type
Senior full-stack ML Systems Engineer (Data Labeling Platform)
Builds
Scalable data-annotation pipelines, machine-led training data solutions, and AI-assisted labeling tools for General Motors' AV organization.
Domain
Autonomous Vehicles / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Full-stack development, distributed systems, cloud application operations, AI tooling integration, data modeling, API design, object-oriented design, CI/CD, observability
Preferred skills
Computer vision, machine learning, data-centric AI, data labeling platforms, A/B testing, telemetry systems, modern web APIs (Service Workers, IndexedDB)
Technologies
Python, TypeScript, Go, React, GraphQL, Redux, WebGL, SQL
Responsibilities
Design and implement scalable high-performance user experiences and services; develop automation and tooling for labeling workflows; integrate ML-driven data annotation (pre-labeling, autolabeling); advocate for AI-powered development workflows; own technical projects end-to-end; collaborate across the AV stack to translate requirements into concrete workflows and APIs.
Seniority
Senior, hands-on IC
