AI/ML Staff Researcher

General Motors

Lead AI/ML solutions for advanced engineering and research capabilities at General Motors. Build and scale models while guiding technology strategy and organizational alignment toward business value.

Posted 5/28/2026full-timeMountain View • California, Missouri • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact

Lead the development and deployment of advanced AI and machine learning solutions that accelerate GM’s research, engineering, and product development capabilities.
Build, validate, deploy, and scale AI/ML models for high-impact engineering, research, and product development applications.
Lead technical work across a broad set of AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, and physics-based AI.
Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
Provide strategic guidance to leadership on AI technology choices, investment areas, roadmap priorities, and capability development.
Communicate complex technical concepts, tradeoffs, and recommendations clearly and effectively to executive and non-technical audiences.
Partner closely with engineering, product, and software teams to transition AI concepts into deployed solutions.
Evaluate emerging AI technologies and identify where they can strengthen GM’s technical portfolio and long-term competitive advantage.
Mentor technical teams and influence best practices in applied AI/ML development, experimentation, deployment, and governance.
Contribute to thought leadership through technical reviews, publications, invention disclosures, and cross-functional collaboration.

Requirements

What you’ll need

PhD or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field, with significant relevant experience.
Demonstrated success building and deploying AI/ML models in production or high-value applied research environments.
Deep expertise across multiple AI domains, including machine learning, deep learning, LLMs, generative AI, and physics-based or scientific machine learning.
Strong understanding of modern AI/ML development workflows, including data pipelines, model training, evaluation, deployment, monitoring, and lifecycle management.
Experience applying AI/ML to complex technical domains such as engineering, simulation, scientific computing, and advanced product development.
Proven ability to communicate technical strategy and recommendations effectively to executive leadership.
Track record of leading technically significant initiatives through influence, expertise, and cross-functional collaboration.
Strong verbal and written communication skills, with the ability to tailor messaging to both technical and non-technical audiences.
Ability to balance long-term strategic thinking with near-term execution and delivery.

Benefits

Comp & perks

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AImachine learningdeep learninggenerative AILarge Language Modelsphysics-based AImodel developmentdata strategymodel traininglifecycle management

Soft Skills

communicationleadershipstrategic thinkinginfluencecollaborationmentoringproblem-solvingtechnical authorityadaptabilitycross-functional teamwork

Certifications

PhDadvanced degree in Computer Scienceadvanced degree in Machine Learningadvanced degree in Artificial Intelligenceadvanced degree in Applied Mathematicsadvanced degree in Engineeringadvanced degree in Physics