Senior AI/ML Engineer

General Motors

AI/ML Engineer building scalable labeling tools for autonomous vehicles at General Motors. Collaborating with cross-functional teams to enhance machine learning workflows and drive innovation in data quality.

Posted 5/10/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $170,600 - $261,300 per yearWebsite

Tech Stack

Tools & technologies

CloudGoGraphQLPythonReactReduxSQLTypeScript

About the role

Key responsibilities & impact

Build high‑impact labeling experiences
Design, implement, and test scalable, high‑performance user experiences and services using modern full‑stack and/or frontend technologies.
Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g., efficiency dashboards, auto‑QA, autolabel review tools), reducing iteration time from idea to trained model.
Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling at scale.
Use and advocate for modern AI‑powered development workflows (code assistants, automated documentation, test generation, etc.) to increase velocity while maintaining quality.
Take ownership of technical projects from problem framing through design, implementation, and rollout.
Drive code reviews, design discussions, and technical decisions.
Work with partner teams (ML, Ops, Product, Data Science, other platform teams) to translate abstract requirements into concrete workflows, APIs, and UIs that hit quality, cost, and latency goals.

Requirements

What you’ll need

6+ years of experience building robust distributed platforms and applications
Hands-on experience leveraging AI tools (agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
Proficiency in writing and reviewing high‑quality, scalable, and performant full-stack code using technologies and languages like 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.
Bonus Points Experience using modern web APIs (Service Workers, Cache Storage, IndexedDB, etc.) in data‑intensive or visualization‑heavy applications.
A track record of close collaboration with customers, product managers, designers, and user experience researchers.
Experience with computer vision, machine learning, or data‑centric AI projects — especially where labeled data, data quality, or autolabeling loops were central to the work.
Familiarity with data labeling platforms or tools used by large labeling workforces (e.g., annotation UIs, workflow engines, quality systems).
Experience with A/B testing and telemetry/observability systems to measure impact and reliability.
Proficiency in writing and reviewing high‑quality, scalable, and performant code using TypeScript, React, Redux, GraphQL, WebGL, or similar frontend technologies.

Benefits

Comp & perks

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts and more.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptGoReactSQLReduxGraphQLWebGLAPI designobject-oriented design

Soft Skills

collaborationproblem framingownershipcode reviewsdesign discussionstechnical decision makingcommunicationcustomer collaborationuser experience researchproject management