Senior AI/ML Engineer - Autonomous Vehicle Labeling

3M HEALTHCARE

Sunnyvale (CA)

Hybrid

USD 160,000 - 230,000

Full time

14 days+
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Job summary

General Motors is seeking a Senior Data Labeling Engineer to help teach our self-driving vehicles how to see and understand the world. You will design and operate hybrid human/machine labeling tools powering autonomous vehicle ML models within GM's AV organization.

Expect end‑to‑end ownership, cross‑functional collaboration, and hands‑on work across frontend, backend, and data/ML systems. You will work with a modern stack (TypeScript/React, Python, GraphQL, Go, SQL, WebGL) and build scalable

Qualifications

  • 6+ years of experience building robust distributed platforms and applications.
  • Proficiency in writing and reviewing high‑quality, scalable, and performant full‑stack code (Python, TS, Go, React, SQL, GraphQL, WebGL).
  • Strong fundamentals in OOD, data structures, algorithms, and engineering best practices (TDD, observability, CI/CD).
  • Experience developing and operating cloud‑based applications.

Responsibilities

  • Build high‑impact labeling experiences using modern frontend/backend tech.
  • Ship features across multiple surface areas for faster labeling of data.
  • Develop automation and tooling to give ML engineers deep insights into labeling workflows.
  • Collaborate with ML engineers to design ML‑driven data annotation (pre‑labeling, autolabeling).
  • Promote AI‑assisted engineering with modern AI‑powered development workflows.
  • Own projects end‑to‑end from problem framing to rollout; drive design discussions.

Skills

Python
TypeScript
Go
React
SQL
GraphQL
WebGL
CI/CD
Distributed systems
Cloud

Job description

General Motors is seeking a Senior Data Labeling Engineer to help teach our self-driving vehicles how to see and understand the world. You will design and operate hybrid human/machine labeling tools powering autonomous vehicle ML models within GM's AV organization.

Expect end‑to‑end ownership, cross‑functional collaboration, and hands‑on work across frontend, backend, and data/ML systems. You will work with a modern stack (TypeScript/React, Python, GraphQL, Go, SQL, WebGL) and build scalable

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