Senior AI/ML Engineer

Job Description

General Motors - Data Labeling Engineering

Location: Sunnyvale, CA (Hybrid: 3 days/week on-site within 50-mile radius)

Job Type: On-site / Remote Hybrid

About The Team & Role

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization. We operate in the intersection of software engineering, data engineering, and AI/ML. Our modern full-stack architecture includes TypeScript/React, Python, GraphQL, Golang, and ML model services, powering data-annotation pipelines and machine-led training data solutions at foundation-model scale.

Key Responsibilities

* Build high-impact labeling experiences: Design, implement, and test scalable, high-performance user experiences and services using modern full-stack/frontend technologies.

* Enhance ML workflows: Develop automation and tooling (e.g., efficiency dashboards, auto-QA, autolabel review tools) to reduce iteration time from idea to trained model.

* Apply ML to labeling: Collaborate with ML engineers to design ML-driven data annotation (pre-labeling, autolabeling, active learning loops).

* Champion AI-assisted engineering: Utilize AI-powered development workflows (code assistants, automated documentation) to increase velocity.

* End-to-end ownership: Drive technical projects from problem framing through design, implementation, and rollout.

* Cross-functional collaboration: Work with ML, Ops, Product, and Data Science teams to translate requirements into concrete workflows, APIs, and UIs.

Requirements

* 6+ years of experience building robust distributed platforms and applications.

* Hands-on experience leveraging AI tools (agentic coding, search, documentation generators) to accelerate delivery.

* Proficiency in writing high-quality, scalable 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, data structures, algorithms, and engineering best practices (TDD, CI/CD).

* Experience developing and operating cloud-based applications.

Preferred Qualifications (Bonus)

* Experience with modern web APIs (Service Workers, Cache Storage, IndexedDB).

* Close collaboration experience with customers, product managers, designers, and UX researchers.

* Experience with computer vision, machine learning, or data-centric AI projects (labeled data, autolabeling loops).

* Familiarity with data labeling platforms, annotation UIs, or workflow engines.

* Experience with A/B testing and telemetry/observability systems.

Compensation & Benefits

Salary Range: $170,600 - $261,300 (Actual base salary varies based on position factors).

Bonus Potential: Incentive pay program based on company performance, job level, and individual performance.

Benefits: Medical, dental, vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, and GM vehicle discounts.

Company: General Motors (AV Organization)

Equality Statement: General Motors is committed to being a workplace that is free of unlawful discrimination and fosters inclusion. Employment decisions are made without regard to sex, race, color, national origin, religion, age, disability, or veteran status.