Senior ML Platform Engineer - End-to-End Data & Labeling

General Motors Company; Sunnyvale (CA); On-site; USD 172,000 - 304,000; Full time

Benefits offered by this job

Health benefits

Dental plan

Vision plan

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Life insurance

Paid vacation & holidays

Tuition assistance programs

Employee assistance program

GM vehicle discounts

Job summary

General Motors Company is seeking a Data Labeling Engineering lead to own end-to-end platforms that power autonomous vehicle data labeling at scale. You will shape the platform, drive cross-team collaboration, and build ML-assisted labeling tools and scalable user experiences.

You’ll work across AI/ML engineers, product operations, product management, and data science to deliver reliable, high-quality data pipelines and labeling workflows with modern full-stack technologies.

Qualifications

• 8+ years of experience building robust distributed platforms and applications.
• Hands-on experience leveraging AI tools to accelerate understanding, implementation, debugging, and delivery of new capabilities.
• Proficiency in writing and reviewing high-quality, scalable full-stack code with Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, etc.
• Solid understanding of scalable software system design including data modeling and API/interface design.
• Strong fundamentals in OO design, data structures, algorithms and engineering best practices (TDD, code quality, observability, CI/CD).

Responsibilities

• Define the platform vision and roadmap with cross-team leads.
• Own projects end-to-end from problem framing through design, implementation, and rollout.
• Collaborate across the AV stack to translate requirements into workflows, APIs, and UIs.
• Develop automation and tooling to provide deep insight into labeling workflows and data quality.
• Collaborate on ML-driven data annotation including pre-labeling and active learning loops.
• Build scalable, high-performance labeling experiences spanning multiple surface-areas.

Skills

Self-driving/robotics

Shipping and operating

Communication and collaboration

Learning new technologies

User empathy

Tools

Python

TypeScript

Go

React

SQL

Redux

gRPC

GraphQL

WebGL

Job description

General Motors Company is seeking a Data Labeling Engineering lead to own end-to-end platforms that power autonomous vehicle data labeling at scale. You will shape the platform, drive cross-team collaboration, and build ML-assisted labeling tools and scalable user experiences.

You’ll work across AI/ML engineers, product operations, product management, and data science to deliver reliable, high-quality data pipelines and labeling workflows with modern full-stack technologies.