Glen Raven · 5 hours ago
Machine Learning & Predictive Modeling Internship - Summer 2026
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.
IndustrialIndustrial EngineeringLogisticsTextiles
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
Qualification
Required
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
Company
Glen Raven
Glen Raven is proud to design, develop and produce quality fabrics and textiles while offering exceptional distribution, logistics and marketing to our clients.
Funding
Current Stage
Late StageTotal Funding
unknown2018-06-28Acquired
Leadership Team
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