Scan your resume against ATS criteria for this Senior ML Systems Engineer role at Careers Gm.
Help teach our self‑driving vehicles how to see and understand the world!
The
team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors'
We operate in the intersection of
and
, 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 full‑stack architecture including
and
, which powers data‑annotation pipelines and machine‑led training data solutions at
. We partner closely across
and other
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.
Design, implement, and test scalable, high‑performance user experiences and services using modern full‑stack and/or frontend technologies. You’ll ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities.
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.
and its potential to transform safety, mobility, and the driving experience.
and deepen your expertise across frontend, backend, and data/ML‑adjacent systems.
end‑to‑end products or features in production.
skills; you can explain tradeoffs, influence peers, and work through ambiguity with cross‑functional partners.
.
of experience building robust
(agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
, and engineering best practices (TDD, code quality, observability, CI/CD).
(Service Workers, Cache Storage, IndexedDB, etc.) in data‑intensive or visualization‑heavy applications.
and
, or data‑centric AI projects — especially where labeled data, data quality, or autolabeling loops were central to the work.
or tools used by large labeling workforces (e.g., annotation UIs, workflow engines, quality systems).
and telemetry/observability systems to measure impact and reliability.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.
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.
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 General Motors team.
From day, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting https://search-careers.gm.com/en/working-at-gm/total-rewards
.
General Motors is committed to being a workplace that is not free of unlawful discrimination, but 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 https://search-careers.gm.com/en/how-we-hire
.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, mailto:[email protected]
us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
of experience building robust
(agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
, and engineering best practices (TDD, code quality, observability, CI/CD).
Benefits:
#LI-EL1**
How to apply for Senior ML Systems Engineer at Careers Gm?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is $174,900 - $261,300 per annum.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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