Job Description

Job Details

Description

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.

Description:

• 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

Location:

• Sunbrella HQ, 142 Glen Raven , Burlington, NC
• Remote

Duration:

• 10 consecutive weeks between May and August with opportunity for extension

Required Candidate Qualifications:

• 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

Contact:

John Falkner, Talent Acquisition Manager jfalkner@glenraven.com

Job Tags

Summer work, Summer internship

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