Machine Learning & Predictive Modeling Internship - Summer 2026
- 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
- Sunbrella HQ, 142 Glen Raven , Burlington, NC
- Remote
- 10 consecutive weeks between May and August with opportunity for extension
- 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
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