2026 Fall Intern - Research & Development: AI/ML

General Motors•Mountain View, CA

16h•Hybrid

About The Position

GM is seeking 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.

Requirements

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

Nice To Haves

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

Responsibilities

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