Sr. Engineer, Machine Learning

Requisition Number: 78440   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, automotive, and solar 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  Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Role Summary Corning is seeking a Sr. Engineer, Machine Learning to join a growing Manufacturing Technology and Engineering team in Durham, North Carolina. This person will help develop and deploy applied machine learning, AI, and analytics solutions that address real manufacturing and operational challenges across Corning.The role will work with technical customers to understand the underlying business or engineering problem, develop practical modeling approaches, and help transition solutions into production environments. Projects may include predictive maintenance, computer vision and inspection systems, process modeling, and LLM-integrated applications such as MCP- or RAG-based assistants.The team is looking for a strong applied machine learning foundation rather than prior manufacturing experience specifically; manufacturing, equipment, or industrial-data experience is beneficial but not required. Key Responsibilities • Partner with manufacturing, engineering, and business stakeholders to understand technical problems and develop machine learning or AI solutions that deliver practical business impact • Perform exploratory and targeted data analysis; prepare data, select appropriate methods, develop models, evaluate results, and clearly communicate recommendations • Develop machine learning solutions for classification, regression, clustering, predictive maintenance, condition-based maintenance, process modeling, computer vision, or inspection-system applications • Develop and support LLM-integrated applications, including MCP- and RAG-based process, equipment, or knowledge assistants • Build predictive and classification models and support deployment into production environments, including on-premise systems, servers, cloud, or edge devices • Configure, manage, and troubleshoot machine learning application environments, data workflows, and deployment infrastructure as needed • Document technical approaches, model development, validation, results, and recommendations through reports and presentations • Collaborate across multidisciplinary teams and contribute to identification, scoping, and development of new machine learning opportunities