AI/ML Intern

International Motors, LLC•Lisle, IL

3h•Hybrid

About The Position

The AI/ML Intern will work with data scientists, data engineers, and business stakeholders to support the development of artificial intelligence and machine learning solutions for business challenges. The role provides hands-on experience across the AI lifecycle, including data preparation, model development, generative AI applications, experimentation, model evaluation, and communicating insights. The intern will be exposed to modern AI platforms, cloud technologies, and enterprise data environments while contributing to innovation initiatives. This is a 12-week summer 2027 internship, running May through August. Candidates must be able to work the full 12-week period. The role is based at the company’s Lisle, Illinois headquarters, with in-office work Monday through Thursday and work from home on Friday. The hourly pay range is $27–$32. Benefits for intern and co-op positions are limited to paid time off (PTO) and paid company holidays during the assignment. Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to work in the United States. The company does not anticipate providing employment-related work sponsorship for this position.

Requirements

Pursuing a Bachelor’s or Master’s degree.
For legal jobs, pursuing a Juris Doctor degree or Doctor of Law degree (J.D.).
Must be able to work the full 12-week summer internship period.
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to work in the United States.

Nice To Haves

Preferred majors include Data Science, Computer Science/Engineering, Software Engineering, Mathematics, Physics, Economics, Statistics, or a related quantitative or technical field.
Curiosity, analytical ability, and passion for emerging AI technologies.
Foundational understanding of machine learning, data analytics, statistics, and programming.
Interest in applying AI responsibly to solve complex business problems.
Strong collaboration, communication, and problem-solving skills.

Responsibilities

Assist with machine learning, predictive analytics, and generative AI projects.
Support data exploration, feature engineering, model development, testing, and evaluation.
Explore and prototype AI solutions using enterprise AI and cloud platforms.
Partner with data scientists, engineers, and business teams to identify opportunities for AI-driven improvements.
Contribute to prompt engineering, AI experimentation, and responsible AI practices.
Document findings, present recommendations, and communicate results to technical and non-technical audiences.