Research and Development Intern - Machine Learning - Summer 2026

Corning•Corning, NY

32d•Onsite

About The Position

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 expectationsâ¯- not once in a career, but every day. They help move our company,â¯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. Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: Trusted products that accelerate drug discovery, development, and delivery to save lives Damage-resistant cover glass to enhance the devices that keep us connected Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light Precision glass for advanced displays to deliver richer experiences Auto glass and ceramics to drive cleaner, safer, and smarter transportation The intern will leverage data-driven techniques (e.g., machine learning and deep learning) to support the development of fundamental understanding of material properties for glass, glass-ceramics, and/or polymers. The intern will collect data, design test plans, and explore new ways to achieve desired material attributes. In addition, the intern will be responsible for collaborating with experimental scientists, comparing results to the literature, and writing and presenting a final report.

Requirements

Pursuing MS or PhD in Materials Science, Chemical Engineering, Mechanical Engineering, Computer Science, or similar disciplines
Experience in applications of data-driven modeling (e.g., machine learning, deep learning, data science, statistics) to scientific domains
Strong background in programming using Python, machine learning and deep learning packages
Excellent verbal and written communication skills; ability to effectively present information to different audiences
Experience working in a research lab and report writing
Must be available for 10 weeks during Summer 2026 (May-August 2026) with a graduation date of December 2026 or later
Be willing to work at the posted job location: Corning, NY

Nice To Haves

Knowledge/experience in: Materials science and structure-processing-property relationships
Cheminformatics and representation learning
Generative modeling and/or Large Language Models (LLMs)
Reinforcement learning
Other simulation methods (e.g., molecular dynamics, density functional theory, finite element analysis)
Materials characterization techniques and interpretation

Responsibilities

Work with scientists to collect and clean relevant data toward developing fundamental understanding aligned with project objectives
Implement data-driven workflows to assist in the design of experiments and work with scientists to plan and carry out these experiments
Learn new techniques and methods as needed to support the project objectives
Document the results of the research by the end of the summer and give a final presentation of project outputs