2026 Fall Intern - Research & Development: AI/ML

About the role

This internship is categorized as hybrid, requiring the successful candidate to report in-office three times per week, starting September 7, 2026.

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
• Auxiliary 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

Requirements

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

Qualifications

• PhD program enrollment required

Skills

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

Benefits

Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Pay

Details on pay are not specified in the job posting.

Schedule

The start date for this internship is September 7, 2026. This role is categorized as hybrid, requiring the successful candidate to report in-office three times per week, at minimum.