Job description

Requisition Number: 77391 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.  Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use. Scope of Position As part of an engineering and digital transformation team, use fundamental understanding of data analytics, artificial intelligence, machine learning, and manufacturing processes to complete key summer project deliverables in optical fiber and cable manufacturing. This role is designed for a current college student who is actively pursuing a degree and looking to apply classroom learning to real manufacturing problems. • Use scientific method and data-driven problem solving to design analyses, experiments, and prototypes that support product, process, equipment, quality, or cost improvements. • Analyze manufacturing, process, sensor, quality, and/or machine vision data to identify patterns, drivers, and opportunities for improvement. • Develop and test AI/ML, statistical, automation, or visualization solutions under the guidance of experienced engineers and digital professionals. • Provide recommendations, present findings, and document project work in a way that can be understood by engineering, operations, and leadership stakeholders. Program Benefits • Competitive salaries • Housing assistance • Travel reimbursement Intern Activities • Social and networking events • Volunteer opportunities • Community Involvement Responsibilities • While participating in a team environment, own one or more defined summer project objectives that support Corning’s manufacturing and digital transformation priorities. • Interface with engineering, operations, quality, controls, IT/digital, and other support groups to understand process context, data sources, constraints, and potential implementation impact. • Clean, structure, and analyze datasets using appropriate statistical, visualization, and AI/ML techniques. • Build proof-of-concept models, scripts, dashboards, algorithms, or analytical tools using tools such as Python, SQL, Power BI, MATLAB, C/C++, C#, or similar platforms. • Support projects involving machine vision, sensor technology, process control, automation, predictive analytics, anomaly detection, process capability, or model-based decision support. • Review performance data from analyses, experiments, or prototypes and effectively draw conclusions based on evidence. • Document assumptions, data sources, analysis methods, model performance, limitations, and recommended next steps. • Communicate effectively with personnel at various levels, including project teams, manufacturing stakeholders, and engineering leaders. Requirements • Currently pursuing a BS or MS degree in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Industrial Engineering, Applied Mathematics, Statistics, Mechanical Engineering, Chemical Engineering, or a related technical field. • Must be actively enrolled in an accredited college or university during the internship and have at least one academic term remaining after the internship concludes. • Rising junior, senior, or graduate student preferred. • Relevant coursework, labs, research, co-op, internship, or project experience in AI/ML, data analytics, statistics, controls, automation, computer vision, or manufacturing is a plus. • Must be available for 10 weeks during Summer 2027 (May-August 2027) with a graduation date of December 2027 or later • Be interested in working for Corning, Inc after graduation, if presented with a full-time job opportunity. • Be willing to work at the posted job location Required Skills • Familiarity with engineering, analytical, or scientific methodology, including the ability to design analyses or experiments to develop understanding. • Programming experience in Python, MATLAB, C/C++, C#, R, or similar language. • Foundational understanding of data analytics and AI/ML concepts such as data preparation, feature engineering, supervised/unsupervised learning, model training, model evaluation, and visualization. • Data/statistical analysis skills and ability to interpret results in the context of a real process or business problem. • Analytical problem-solving skills and curiosity to learn manufacturing processes and digital technologies. • Ability to build relationships, work in teams, and interact with multiple functions and levels of the organization. • Excellent verbal and written communication skills; ability to present technical information clearly. • Results-oriented approach with good organization, follow-through, and willingness to ask questions and learn. Preferred Skills • Experience with Python data or machine learning libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, OpenCV, or similar tools. • Experience with SQL, data visualization, Power BI, Git, cloud/data platforms, or industrial data systems. • Exposure to machine vision, image processing, sensor data, industrial cameras, PLC/HMI/SCADA systems, or manufacturing automation. • Familiarity with process controls, statistical process control, process capability, Six Sigma/DMAIC, or manufacturing quality systems. • Interest in applying AI/ML responsibly in manufacturing to improve cost, capacity, quality, capability, and decision-making. 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.  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 accommodations@corning.com .

Requirements

Must-haves

Requisition Number: 77391
The company built on breakthroughs. 
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. 
Come break through with us.
Scope of Position
Use scientific method and data-driven problem solving to design analyses, experiments, and prototypes that support product, process, equipment, quality, or cost improvements.
Analyze manufacturing, process, sensor, quality, and/or machine vision data to identify patterns, drivers, and opportunities for improvement.
Develop and test AI/ML, statistical, automation, or visualization solutions under the guidance of experienced engineers and digital professionals.
Provide recommendations, present findings, and document project work in a way that can be understood by engineering, operations, and leadership stakeholders.
Program Benefits
Competitive salaries
Housing assistance

Nice-to-haves

Rising junior, senior, or graduate student preferred.
Relevant coursework, labs, research, co-op, internship, or project experience in AI/ML, data analytics, statistics, controls, automation, computer vision, or manufacturing is a plus.
Experience with Python data or machine learning libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, OpenCV, or similar tools.
Experience with SQL, data visualization, Power BI, Git, cloud/data platforms, or industrial data systems.
Exposure to machine vision, image processing, sensor data, industrial cameras, PLC/HMI/SCADA systems, or manufacturing automation.
Familiarity with process controls, statistical process control, process capability, Six Sigma/DMAIC, or manufacturing quality systems.
Interest in applying AI/ML responsibly in manufacturing to improve cost, capacity, quality, capability, and decision-making.
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.
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.

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machine learningaimlpythonsql

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Effort: medium

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