AI/ML Intern: Build Data-Driven Prototypes & Impact

Corning Incorporated; Wilmington (NC); On-site; USD 43,000 - 83,000; Full time

Benefits offered by this job

Competitive salaries

Housing assistance

Travel reimbursement

Job summary

Corning Incorporated seeks a data science/engineering intern to design analyses and prototypes that improve product, process, and cost metrics. You will analyze manufacturing data and develop AI/ML or visualization solutions under experienced guidance, presenting results to engineering and leadership teams.

Responsibilities include building PoC models, dashboards, and tools with Python, SQL, Power BI, and MATLAB, while collaborating across functions.

Qualifications

• Pursuing a BS or MS in a technical field with term remaining after internship.
• Active enrollment in an accredited college or university during the internship.
• Rising junior, senior, or graduate student preferred.
• Coursework/experience in AI/ML, data analytics, statistics, or manufacturing is a plus.
• Available for 10 weeks during Summer 2027 (May–August 2027).

Responsibilities

• Own defined summer project objectives supporting manufacturing and digital transformation.
• Interface with engineering, operations, quality, controls, IT/digital, and other groups.
• Clean, structure, and analyze datasets using statistical and AI/ML techniques.
• Build PoC models, scripts, dashboards, algorithms using Python/SQL/Power BI/MATLAB/C/C++/C#.
• Support projects involving machine vision, sensors, process control, automation, analytics.
• Review performance data and draw conclusions based on evidence.
• Document assumptions, data sources, analysis methods, and limitations.

Skills

Analytical mindset

Communication skills

Team collaboration

Problem solving

Education

BS/MS in Data Science or related field

Tools

Python

SQL

Power BI

MATLAB

C/C++

C#

Job description

Corning Incorporated seeks a data science/engineering intern to design analyses and prototypes that improve product, process, and cost metrics. You will analyze manufacturing data and develop AI/ML or visualization solutions under experienced guidance, presenting results to engineering and leadership teams.

Responsibilities include building PoC models, dashboards, and tools with Python, SQL, Power BI, and MATLAB, while collaborating across functions.