Description
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement: This role is categorized as ONSITE , General Shift, 45 hours per week, 6-month duration. This means the successful candidate is expected to report to GM TCI office five times per week or other frequency dictated by the business.
The Role
We are seeking a highly motivated and curious AI/ML Intern to join our engineering and manufacturing team. This role is ideal for a student who is passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical engineering and manufacturing problems. The intern will work with cross-functional teams to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes.
What You'll Do
- Support development and evaluation of AI/ML, analytics, and automation solutions for engineering and manufacturing use cases.
- Work with engineers, domain experts, and data-focused teams to identify problem statements, gather requirements, and translate business needs into technical approaches.
- Assist in collecting, cleaning, and analyzing structured and unstructured data to uncover trends, patterns, and improvement opportunities.
- Build and test prototypes, proof of concepts, dashboards, or scripts that demonstrate the value of AI/ML in real business processes.
- Support model development activities such as feature preparation, experimentation, validation, and performance tracking under guidance from the team.
- Create clear documentation, presentations, and summaries to communicate findings, recommendations, and next steps to technical and non-technical stakeholders.
- Research emerging AI/ML tools, methods, and best practices relevant to engineering, manufacturing, and digital transformation initiatives.
- Collaborate in a fast-paced environment while demonstrating curiosity, learning agility, ownership, and strong teamwork.
Your Skills & Abilities (Required Qualifications)
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.
- Basic understanding of AI/ML concepts such as supervised learning, unsupervised learning, model evaluation, and data preprocessing.
- Working knowledge of Python and familiarity with common data analysis libraries such as NumPy, Pandas, or similar tools.
- Familiarity with data analysis, visualization, and reporting techniques.
- Exposure to SQL, Power BI, or similar analytics and visualization tools is preferred.
- Strong analytical thinking, problem-solving ability, and attention to detail.
- Effective written and verbal communication skills and the ability to work with cross-functional teams.
What Will Give You A Competitive Edge (Preferred Qualifications)
- Exposure to machine learning frameworks or platforms such as scikit-learn, TensorFlow, PyTorch, or cloud-based AI/ML tools.
- Familiarity with manufacturing, engineering, plant operations, simulation, or industrial data use cases.
- Experience through academic projects, internships, hackathons, or coursework in AI, machine learning, analytics, automation, or digital product development.
- Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations.
What Success Looks Like
- Delivers high-quality analysis and prototype outputs on assigned work.
- Demonstrates strong learning agility and curiosity in new tools and business problems.
- Communicates ideas clearly and works effectively with stakeholders.
- Contributes to practical use cases that support engineering and manufacturing efficiency, quality, or innovation.
Why Join Us
At GM, you will have the opportunity to work on meaningful problems, collaborate with talented teams, and gain hands-on experience applying AI/ML in real-world engineering and manufacturing environments. This internship offers exposure to emerging technologies, cross-functional teamwork, and business challenges that help shape the future of mobility and industrial transformation.
About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join UsWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits OverviewFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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