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Data Science Intern (Personalization & Recommender Systems) at Faire - ApplyBlast

Data Science Intern (Personalization & Recommender Systems)

Faire

6 months ago

3.8 on Glassdoor

San Francisco, CA

Hybrid

Internship

Senior

0 applicants

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About this role

A Machine Learning Researcher at Faire develops advanced recommender systems and personalization algorithms to help small businesses compete with large e-commerce platforms. The role involves working on core personalization problems that impact millions of daily recommendations.

Skills

Qualifications

Master’s or PhD in Computer Science, Machine Learning, Statistics, or related fieldProficiency in PythonFamiliarity with ML stack (PyTorch, TensorFlow, Pandas, SQL)Strong theoretical foundation in ML and statistics

About Faire

faire.com

Headquarters

San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2017

View Profile

Faire is a wholesale marketplace that connects independent retailers with emerging and established brands and makers, helping stores source curated, often-unique inventory at wholesale prices. The platform provides tools to buy and sell at scale — including flexible net payment terms, risk‑reduction features for first orders, returns protections, data-driven product discovery, and payments/logistics support — to lower inventory risk and streamline ordering. Faire’s mission is to democratize wholesale by giving small brands access to a broad network of retailers and giving retailers an easy way to discover and reorder differentiated products.