Intern - Research and Development - Smart Manufacturing Systems

General Motors

. Build, validate, deploy, and scale AI/ML models for manufacturing engineering and R&D applications .

Posted 10/12/2026internshipWarren • Michigan • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, validating, and deploying AI/ML models, with a strong focus on manufacturing engineering and R&D applications. Proficient in translating complex engineering problems into actionable AI/ML strategies while maintaining state-of-the-art technical skills and fostering collaboration across diverse teams.

Highest-signal resume keywords

AI/ML Model DevelopmentDeep Learning ExpertiseManufacturing Process ModelingData Pipeline ManagementTechnical Publication Record

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AIPhysics-Based Machine LearningSQLPythonRC++Data ManipulationModel Evaluation

Soft Skills

Collaborative SkillsCommunication Skills

Tools & Technologies

Scikit LearnTensorFlowKerasPyTorch

Industry Keywords

Manufacturing EngineeringProduction ManagementOperations OptimizationAdvanced ManufacturingTechnical Research

Tech Stack

Tools & technologies

KerasPythonPyTorchSQLTensorflowC++

About the role

Key responsibilities & impact

Build, validate, deploy, and scale AI/ML models for manufacturing engineering and R&D applications
Conduct technical work across classical machine learning, deep learning, GenAI, LLMs, 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
Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices
Generate new concepts and ideas through research programs applying the latest AI/ML tools
Drive technical assignments with minimal supervision
Collaborate with fellow researchers, centers, operational groups, plant personnel, universities, global technical teams, and external subject-matter experts
Maintain state-of-the-art technical skills and knowledge
Develop working relationships with internal and external subject-matter experts
Communicate and document results through internal and external publications
Lead discussions as an expert in manufacturing AI/ML
Counsel GM engineering management on manufacturing engineering process, practice, and tool improvements
Represent GM in research activities with contractors, academic collaborators, GM Centers, external agencies, and technical organizations
Develop a strong record of invention, publishing, and presenting

Requirements

What you’ll need

Pursuit of 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 modern 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 engineering
Background in manufacturing process modeling, design, control, and optimization
Manufacturing engineering theory and principles of production management & operations
Excellent collaborative skills
Proven record of high impact publications in peer-reviewed conferences/journals
Able to work fulltime, 40 hours per week during the summer months
GM does not provide immigration-related sponsorship for this role; applicants must not require GM immigration sponsorship now or in the future
Must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee, or refugee, due to export control restrictions
Preferred: PhD in relevant field of study
Preferred: Background in manufacturing process modeling, design, control, and optimization with a track record of successful manufacturing implementations
Preferred: Proficiency in data manipulation, analysis, and visualization
Preferred: Structured database design and integration experience and programming skills such as SQL, C++, Python, R, or Matlab
Preferred: Familiarity with Scikit Learn, TensorFlow, Keras, and PyTorch

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program to help facilitate relocation benefits
Benefits and rewards supporting employee well-being at work and at home (details provided through GM Total Rewards resources)
Reasonable accommodations for applicants with disabilities