Summer 2027 AI/ML Intern

The Role

The Materials & Manufacturing Systems Research Lab at the General Motors R&D Center in Warren, Michigan is looking for a highly skilled AI/ML intern with strong experience in Artificial Intelligence, Machine Learning, Large Language Models, World Models, and Agentic AI. The intern will carry out leading-edge research in Smart Manufacturing Systems.

Researchers will join a dynamic team focused on improving GM's advanced manufacturing capabilities. Assignments depend on each person's background, and researchers are expected to provide technical and professional leadership in identifying, defining, and developing future strategic applications of AI in GM's factory operations.

Researchers will also advise GM engineering management on manufacturing engineering processes, practices, and tool improvements, and may take on leadership roles in GM programs or projects. They will represent GM in research activities with contractors, academic collaborators, other GM Centers, external agencies, and technical organizations. Researchers are also expected to build a strong record of invention, publishing, and presenting.

The Smart Manufacturing Research Group develops advanced AI/ML, Agentic AI, mathematical modeling, and optimization approaches, along with real-time decision support tools that help GM plants meet efficiency and quality goals. You will work hands-on to architect, build, deploy, and scale AI/ML models and agentic systems for complex manufacturing engineering and operations challenges. The ideal candidate can develop production-grade AI/ML solutions, evaluate emerging technologies, and discuss strategy, roadmaps, and business impact with senior leaders. Background in manufacturing systems, process design, smart manufacturing, digital twins, simulation, statistics, quality management, control systems, or machine vision is also highly desirable. Experience with production operations is a plus.

What You Will Do

• Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering and R&D applications.
• Conduct technical work across AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, agentic AI, World Models, and physics-based AI.
• Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
• Act as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
• Generate new ideas and run research programs that apply the latest AI/ML tools.
• Drive technical assignments in a resourceful, timely manner with minimal supervision.
• Work well with fellow researchers, centers, operational groups, plant personnel, and universities.
• Maintain state-of-the-art technical skills and knowledge.
• Build working relationships with internal and external subject matter experts.
• Communicate and document results through internal and external publications.
• Collaborate with global technical teams and lead discussions as a manufacturing AI/ML expert.

Required Qualifications

• Pursuing an advanced degree (PhD or Masters) in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field.
• Must be a current student.
• 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, world models, and physics-based machine learning.
• Strong understanding of 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 manufacturing.
• Background in manufacturing process modeling, design, control, and optimization.
• Knowledge of manufacturing engineering theory and production management and operations principles.
• Excellent collaboration skills.
• Proven record of high-impact publications in peer-reviewed conferences or journals.
• Able to work full time, 40 hours per week, during the summer months.

Preferred Qualifications

• PhD in a relevant field of study.
• Background in manufacturing process modeling, design, control, and optimization, with a track record of successful manufacturing implementations.
• Proficiency in data manipulation, analysis, and visualization.
• Structured database design and integration experience, along with programming skills (e.g. SQL, C++, Python, R, Matlab).
• Familiarity with AI tools such as Scikit-learn, TensorFlow, Keras, and PyTorch.

Additional Information

GM does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future, including direct sponsorship, GM as the immigration employer of record on a government form, or any work authorization that requires a written submission or other immigration support from the company (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1).

The position is subject to export control restrictions and requires the candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).

Work Arrangement: This role is hybrid. The successful candidate is expected to report to Warren, MI three times per week at minimum, or at a frequency set by the business.

GM will provide a one-time lump sum taxable stipend to eligible students selected for the 2027 Student Program. To help with relocation benefit administration, please apply using the permanent address you would move from.

Start dates for this internship are May 24 and June 14, 2027.

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We take responsibility for leading the change that will make our world better, safer, and more equitable for all.

Every day, we want every employee to feel they belong to one General Motors team. Learn more about how GM supports your career and well-being through Total Rewards resources.

General Motors is committed to a workplace that is free of unlawful discrimination and that fosters inclusion and belonging. All employment decisions are made without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other similarly protected status under applicable federal, state, and local law.

Applicants may be required to complete a role-related assessment and/or a pre-employment screening before starting. GM offers reasonable accommodations to job seekers with disabilities. To request one, email [email protected] or call 1-800-865-7580, and include the job title and requisition number.