2026 Fall Intern - Research & Development: AI/ML

Description

GM does not provide immigration-related sponsorship for this role.

Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].

The start date for this internship is September 7, 2026.

The Team

At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.

In this internship, you will plan and execute collaborative research that applies advanced artificial intelligence, machine learning, and computational methods to complex vehicle and mobility challenges. Projects may support areas such as vehicle development process acceleration, predictive engineering, vehicle safety, energy and propulsion systems, and next-generation research methods that enable faster, smarter, and more scalable engineering decisions.

You will work with technical leaders across GM Research and Development to explore innovative approaches that combine data, physics-based understanding, and modern AI/ML techniques to solve real-world problems. Our culture of innovation gives you the opportunity to be creative, contribute to impactful research, and help develop technologies that could influence the vehicles and systems of the future.

What You Will Do

Conduct research and/or experiments to collect required data and validate research ideas

Apply AI/ML, data science, and computational methods to engineering and research problems

Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes

Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making

Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research

Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property

Develop and execute specific research plans, including concept generation, development, implementation, and validation

Collaborate effectively with peers, management, operations groups, and outside organizations

Required Qualifications

U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens

Must be currently enrolled in a PhD program

Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field

Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods

Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing

Ability to work both independently and in teams

Consistently demonstrate critical thinking and strong teamwork

Effective verbal and written communication skills

Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

What Will Give You a Competitive Advantage (Preferred Qualifications)

Prior research, internship, or project experience applying AI/ML to engineering, physical systems, or large-scale data problems

Experience with machine learning model development, evaluation, and deployment workflows

Knowledge and experience of physics-based dynamic system modeling

Experience with NeruoSymbolic AI or Causal/Explainable AI or Emotion/Affective AI

Familiarity with generative AI, large language models, deep learning, or physics-informed/data-driven modeling approaches

Experience working with vehicle, test, simulation, sensor, or other engineering datasets

Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences

Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed

Demonstrates leadership in field of study, extra-curricular activities, or service organizations

Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights

Willingness to ask questions, take initiative, and be inventive

Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment

High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed

Evidence of strong character with integrity, honesty, accountability, and trust

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.

Total Rewards | 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

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