AI Engineer Intern

Revolution Company • Terre Haute, IN

5d • Onsite

About The Position

AI Engineer Internship Opportuntiy for Summer 2026! Collaborative and positive team culture. Responsibilities Revolution is seeking a motivated AI Engineer Intern to support engineering initiatives at our Terre Haute manufacturing facility. At Revolution, we are reimagining the lifecycle of plastics through advanced recycling and sustainable manufacturing, and data and AI play a key role in that transformation. In this role, you will help develop data-driven and AI-enabled solutions that improve operational performance across blown film processing and recycling operations. You will work closely with engineering, operations, and data teams to analyze manufacturing data, identify process improvement opportunities, and support the development of tools that improve throughput, reduce waste, and enable smarter decision-making on the plant floor. Our 10-week paid internship provides hands-on experience solving real manufacturing challenges while collaborating with cross-functional teams including engineering, quality, operations, and logistics.

Requirements

• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, Industrial Engineering, Chemical Engineering, Mechanical Engineering, or a related field
• Completed at least 2 years of coursework with a minimum 3.0 GPA
• Coursework or project experience in machine learning, data analytics, or process optimization
• Basic programming skills in Python, SQL, or similar tools
• Experience with data visualization tools (Power BI, Tableau, or similar)
• Strong analytical, problem-solving, and collaboration skills

Responsibilities

• Assist in developing AI, machine learning, and analytics tools to improve manufacturing and recycling operations
• Analyze production data to identify trends, inefficiencies, and optimization opportunities
• Support initiatives focused on reducing waste, improving yield, and increasing equipment uptime
• Help build dashboards, models, and decision-support tools for operational insights
• Organize, clean, and interpret production data in collaboration with engineering and plant teams
• Contribute to predictive analytics, anomaly detection, and root-cause analysis projects
• Document findings and present insights to technical and operational stakeholders

What This Job Offers

• Career Level: Intern
• Number of Employees: 101-250 employees