Join General Motors as a Senior AI/ML Engineer to develop data labeling tools and pipelines for autonomous vehicle machine learning models. This role offers remote/hybrid work with a focus on full-stack development and AI-assisted engineering.

Company: General Motors

Role: Senior AI/ML Engineer

Location: Remote/Hybrid (Sunnyvale, California, United States of America; Remote - United States)

Experience:

6+ years of experience building robust distributed platforms and applications
Proven experience shipping and operating end-to-end products or features in production

Key Skills:

Python
TypeScript
Go
React
SQL
Redux
GraphQL
WebGL
Object-oriented design
Design patterns
Data structures
Algorithms
TDD
Code quality
Observability
CI/CD
Cloud-based applications
AI tools (agentic coding, search, documentation generators)

Role Focus:

Build high-impact labeling experiences using modern full-stack and/or frontend technologies
Design, implement, and test scalable, high-performance user experiences and services
Develop automation and tooling for ML engineers to gain insight into labeling workflows and data quality
Collaborate with ML engineers to design and integrate ML-driven data annotation
Use and advocate for AI-powered development workflows to increase velocity and maintain quality
Own projects end-to-end from problem framing through design, implementation, and rollout
Collaborate with partner teams to translate requirements into workflows, APIs, and UIs meeting quality, cost, and latency goals

Additional responsibilities:

Report to Sunnyvale location three times a week if living within 50-mile radius
Drive code reviews, design discussions, and technical decisions
Explain tradeoffs and influence peers while working through ambiguity with cross-functional partners
Empathize with user challenges and simplify workflows into intuitive tools

Nice to have:

Experience using modern web APIs such as Service Workers, Cache Storage, IndexedDB
Track record of collaboration with customers, product managers, designers, and user experience researchers
Experience with computer vision, machine learning, or data-centric AI projects focused on labeled data or autolabeling loops
Familiarity with data labeling platforms or tools used by large labeling workforces
Experience with A/B testing and telemetry/observability systems
Proficiency in frontend technologies like TypeScript, React, Redux, GraphQL, WebGL

Other:

Compensation range: $170,600 to $261,300 with bonus potential based on company and individual performance
Benefits include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance program, GM vehicle discounts
General Motors vision: Zero Crashes, Zero Emissions, Zero Congestion
Commitment to diversity, inclusion, and equal employment opportunity
Applicants may be required to complete role-related assessments and pre-employment screening
Reasonable accommodations available for individuals with disabilities

Senior AI/ML Engineer

Skills Required

Description