Requisition Number: 72797
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
Scope of Position: Our Process Engineering - Data Analytics group partners with plants and central engineering to build analytics that improve yield, stability, and cost across high-volume manufacturing. You'll contribute to Advanced Process Data Analytics projects (e.g., SPC modernization, anomaly detection, and model-in-the-loop improvements).
You will design, build, and evaluate data solutions that transform raw manufacturing data into actionable insights. Expect hands-on work with Databricks (Spark), Python, and SQL to develop pipelines and statistical analyses that support process capability, control, and continuous improvement.
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
Key Responsibilities:- Data engineering & preparation: ingest, clean, and join sensor/mesoscale datasets in Databricks; implement validation and data quality checks.
- Statistical process analysis: apply SPC, capability studies, and time-series methods to detect drift and instability; communicate findings to process owners.
- Visualization & reporting: build clear notebooks/dashboards for operators/engineers; document assumptions, data lineage, and model limits.
- Collaboration: work with process engineers, manufacturing SMEs, and DT to prioritize backlogs and translate requirements into analytics deliverables.
Requirements:- Currently pursuing a BS/MS in Data Science, Industrial/Process/Manufacturing Engineering, Computer Science, Statistics, or related field.
- Coursework/projects in probability & statistics, data structures, and introductory ML.
- Practical experience with Python and SQL; familiarity with version control (Git) and collaborative workflows.
- Must be available for 10 weeks during Summer 2026 (May 27th - July 31st, 2026) with a graduation date of December 2026 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
Desired Skills:- Exposure to Spark/Databricks and cloud data platforms (Azure/AWS); interest in lakehouse architectures.
- Knowledge of SPC and process-control concepts; prior work in a lab or manufacturing setting.
- Basic understanding of MLOps practices (reproducibility, validation, monitoring).
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.
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
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