Machine Learning Modeling Engineer

Requisition Number: 76873

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

THIS POSITION IS LOCATED IN CORNING, NY

Role Purpose

The Machine Learning Modeling Engineer develops advanced machine learning and AI solutions to support product and process design, development, and innovation across Corning. This role provides data analytics, modeling, and software development support to help solve critical technical problems, improve decision making, and create novel computational methods that strengthen Corning’s competitive advantage.

Key Responsibilities

• Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives.
• Partner with scientists, engineers, and business stakeholders to define project requirements, identify opportunities for analytics and machine learning, and translate technical needs into effective modeling solutions.
• Prepare data, perform exploratory data analysis, and develop, test, and refine machine learning models to support Corning products at different stages of development.
• Interpret modeling and analytical results in research, engineering, and business context and clearly communicate findings, implications, and recommendations to stakeholders.
• Support software development and computational modeling efforts related to data analytics, machine learning, and scientific computing.
• Research and improve applicable technologies while helping expand Corning expertise in emerging AI/ML methods and related technical areas.
• Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.
• Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions.

Experiences/Education - Required

• MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence.
• Background in one or more scientific disciplines such as physics, chemistry, or engineering required.
• Experience preparing data for machine learning and performing exploratory data analysis independently.
• Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms.
• Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with generative AI tools and frameworks.
• Strong mathematical and programming skills using Python.
• Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks.
• Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders.
• Ability to work independently and in a team environment while managing multiple priorities.

Experience Preferred

• Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification.
• Track record of journal or conference publications in relevant technical fields.
• Knowledge of emerging technologies and algorithms in AI/ML.
• Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.
• Experience building scalable data analytics solutions.
• Experience with Databricks Workflows, Delta Lake, and data governance frameworks.
• Foundation in software design principles and ability to design and develop applications as needed.
• Demonstrated ability to support multiple projects in a fast-paced technical environment.
• Strong motivation, attention to detail, and commitment to advancing beyond the current state.

This position supports immigration sponsorship.

The range for this position is $91,311.00 - $125,553.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

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.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at [email protected].