Machine Learning & Predictive Modeling Internship - Summer 2026

Glen Raven • Glen Raven, NC

11h

About The Position

Glen Raven is seeking a technically strong summer intern to design and implement a machine-learning model that predicts fabric performance in the PPE Sector using historical lab data. This role is project-driven and hands-on, with responsibility spanning data exploration, feature engineering, model development, and evaluation.

Requirements

• Pursuing a degree in Computer Science, Data Science, Engineering, or a related quantitative field
• Strong proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning fundamentals, statistics, and model evaluation
• Experience working with structured datasets and version-controlled codebases (Git)
• Ability to work independently on an open-ended technical problem

Responsibilities

• Build end-to-end machine learning pipelines to predict fabric performance metrics from historical testing data
• Perform data cleaning, feature engineering, and exploratory analysis on large, structured datasets housed in a data lake
• Evaluate and compare modeling approaches (e.g., regression, tree-based models, ensemble methods, simulation-informed models)
• Validate model performance using appropriate metrics and cross-validation techniques
• Collaborate with Product Development and Data Analytics partners to ensure scalable and reproducible workflows
• Document model architecture, assumptions, and limitations for future extension
• Deliver a final technical readout and working prototype at the conclusion of the internship

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed