Staff ML Engineer, ML Orchestration

Job description

Job Description

Hybrid This role is categorized as hybrid.

This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center , CA at least three times per week, at minimum or other frequency dictated by the business.

This job is eligible for relocation assistance.

About the Team:

The ML Orchestration team at GM builds and maintains the foundational infrastructure that powers ML workflows across the company.

Our core responsibility is the development and evolution of Roboflow, GM’s in-house semantic orchestration platform designed to streamline and scale complex ML pipelines, from experimentation to production.

A key pillar of our work is AI Lineage—our capability to track, visualize, and understand the entire lifecycle of ML artifacts.

This includes tracing the origin of data, model training runs, hyperparameters, code versions, and evaluation metrics.

AI Lineage provides transparency, auditability, and reproducibility across our ML systems, which is essential for debugging, model governance, regulatory compliance, and improving long-term model quality.

Together, Roboflow and AI Lineage help our engineers move faster with higher confidence, enabling GM to iterate quickly while maintaining the safety and performance standards required for autonomous vehicle development.

Position Overview:

We are seeking an experienced Staff Machine Learning Engineer to drive key initiatives within our ML Orchestration team.

In this role, you will be instrumental in scaling our internal ML platform, building automation and self-service tools, and ensuring the reliability and efficiency of large-scale ML pipelines across GM.

A major focus area for this role is the development and evolution of AI Lineage—our system for capturing, querying, and visualizing the full lifecycle of machine learning artifacts.

You will help design lineage tracking for data transformations, model training, evaluation runs, and pipeline dependencies.

This functionality is critical for enabling transparency, reproducibility, debugging, and regulatory compliance across our ML ecosystem.

Please note: This is an ML infrastructure engineering role.

It does not involve training or applying machine learning models to specific business problems.

Instead, your impact will come from building core infrastructure products that empower hundreds of ML and data science practitioners at GM to experiment, deploy, and manage ML workflows at scale.

What You’ll Be Doing

Minimum Qualifications

Preferred Qualifications

Why Join Us?

If you’re excited to tackle some of today’s most complex ML Infra engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.

Compensation: The compensation information is a good faith estimate only.

It is based on what a successful applicant might be paid in accordance with applicable state laws.

The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington

#LI-EL1

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, 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 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.

Accommodations

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, emailus or call us at 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.

Required Skill Profession

Computer Occupations