2026 Fall Intern - Research & Development: AI/ML

About the role

This role is a hybrid internship at General Motors, starting on September 7, 2026. The intern will report to the office three times a week.

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
• 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

Qualifications

• PhD preferred
• 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

Skills

• 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
• 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
• 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

Benefits

General Motors offers a range of benefits to support your well-being at work and at home, including:

• Flexible work arrangements
• Competitive compensation and benefits packages
• Health, wellness, and financial planning programs
• Professional development and training opportunities
• Employee resource groups and diversity initiatives

Pay

The pay for this internship is competitive and commensurate with experience.

Schedule

The intern will report to the office three times a week.