Senior ML Systems Engineer

Job Description

Help teach our selfdriving vehicles how to see and understand the world!

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 defining the strategies tooling and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.

We own a modern fullstack architecture including TypeScript/React Python GraphQL Golang and ML model services which powers dataannotation pipelines and machineled training data solutions at foundationmodel scale. We partner closely across AI/ML engineers Product Operations Product Management Data Science and other ML Platform groups.

This role is ideal for an engineer who wants end-to-end ownership of meaningful pieces of the platform growth toward technical leadership and direct impact on systems that unblock the next generation of AV capabilities.

• Build highimpact labeling experiences
  Design implement and test scalable highperformance user experiences and services using modern fullstack and/or frontend technologies. Youll ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities.

• Level up how ML teams work with data
  Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g. efficiency dashboards autoQA autolabel review tools) reducing iteration time from idea to trained model.

• Apply ML to labeling itself
  Collaborate with ML engineers to design and integrate MLdriven data annotation (prelabeling autolabeling active learning loops) helping us move from humanonly to machineled labeling at scale.

• Champion AIassisted engineering
  Use and advocate for modern AIpowered development workflows (code assistants automated documentation test generation etc.) to increase velocity while maintaining quality.

• Own projects endtoend
  Take ownership of technical projects from problem framing through design implementation and rollout. Drive code reviews design discussions and technical decisions.

• Collaborate across the AV stack
  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.

• Passionate about selfdriving technology and its potential to transform safety mobility and the driving experience.

• Driven to learn new technologies and deepen your expertise across frontend backend and data/MLadjacent systems.

• Proven experience shipping and operating endtoend products or features in production.

• Strong communication and collaboration skills; you can explain tradeoffs influence peers and work through ambiguity with crossfunctional partners.

• Empathetic to user challenges (from labelers to ML engineers to Ops) and excited to turn messy workflows into simple intuitive tools.

Requirements

• 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 highquality 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 objectoriented design and design patterns data structures algorithms and engineering best practices (TDD code quality observability CI/CD).

• Experience developing and operating cloudbased applications.

What Will Give You a Competitive Edge

• A track record of close collaboration with customers product managers designers and user experience researchers.

• Experience with computer vision machine learning or datacentric 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 highquality scalable and performant code using TypeScript React Redux GraphQL WebGL or similar frontend technologies.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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