Senior ML Systems Engineer — AI Labeling Platform

General Motors Company; Sunnyvale (CA); Hybrid; USD 175,000 - 261,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Hybrid work model

Relocation assistance

Travel up to 25%

Job summary

General Motors Company is seeking an experienced engineer to join the Data Labeling Engineering team. You will own end‑to‑end features for scalable labeling experiences and ML data pipelines powering autonomous vehicle models.

The role blends frontend, backend, and data/ML work across a hybrid GM AV stack. You will push AI-powered development workflows, collaborate with ML engineers and product teams, and drive end-to-end delivery from design to rollout.

Qualifications

• 6+ years of experience building robust distributed platforms and applications.
• Hands-on experience leveraging AI tools (agentic coding, search, documentation generators) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
• Proficiency in writing and reviewing high-quality, scalable, and performant full-stack code using Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL.
• Solid understanding of relational databases, data modeling, and API design.
• Strong fundamentals in object-oriented design and design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD).
• Experience developing and operating cloud-based applications.

Responsibilities

• Build high-impact labeling experiences with scalable frontend and backend services.
• Level up how ML teams work with data by developing automation and tooling for labeling workflows and data quality.
• Apply ML to labeling itself by collaborating on ML-driven data annotation (pre-labeling, autolabeling, active learning loops).
• Champion AI-powered development workflows (code assistants, automated docs, test generation) to increase velocity while maintaining quality.
• Own projects end-to-end from framing to rollout including reviews and technical decisions.
• Collaborate across the AV stack with partner teams to meet quality, cost, and latency goals.

Skills

TypeScript/React

Python

Go

SQL

Redux

GraphQL

WebGL

Job description

General Motors Company is seeking an experienced engineer to join the Data Labeling Engineering team. You will own end‑to‑end features for scalable labeling experiences and ML data pipelines powering autonomous vehicle models.

The role blends frontend, backend, and data/ML work across a hybrid GM AV stack. You will push AI-powered development workflows, collaborate with ML engineers and product teams, and drive end-to-end delivery from design to rollout.