Digital & IT Intern, Analyst, Manufacturing AI/ML - Summer 2027

Corning
Mecklenburg County, North Carolina, United StatesPosted Sep 1, 2026
Data Science / MLSummer 2027

About the role

Requisition Number: 77822

The company built on breakthroughs. ​ Join us.​

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. ​

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​

​Come break through with us.

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Position Summary

The intern will join the Corporate Technology & Staffs team and support modern data engineering solutions for manufacturing, quality, engineering, analytics, and AI/ML initiatives. The role provides hands-on experience with enterprise-scale datasets, cloud data platforms, data pipelines, dashboards, and data foundations that enable industrial analytics and machine learning.

Program Perks

Competitive salaries Assistance with housing and travel Meaningful project and final project presentation

Intern Activities

Social and networking opportunities Weekly tech talks Community involvement

Key Responsibilities

Develop and maintain data pipelines us

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