Research and development - machine learning

Requisition Number: 71997

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. 

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

Role Purpose

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.

Key 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

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

Experiences/Education - Required

• 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

Experiences/Education - Desired

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

This position does not support immigration sponsorship.

The range for this position is $1,635.00 - $3,185.00 biweekly. Starting pay for the successful applicant is prescribed based on geographic location, nature of position, and year in school.

A job that shapes a life. 

Corning offers you the total package. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at [email protected] .