Data Science Intern (Personalization & Recommender Systems)
Posted
$156,000 USD
Tech Stack
Solid badges = required, outlined = preferred
Responsibilities
- Design and deploy state-of-the-art recommender systems for ranking and discovery
- Develop user and item representations using embeddings, sequence models, or graph-based methods
- Build systems leveraging real-time and streaming signals for dynamic personalization
- Apply exploration–exploitation techniques (e.g., contextual bandits, reinforcement learning)
- Run large-scale A/B experiments to evaluate model performance in production
Soft Skills
Machine LearningStatisticsRecommender SystemsRepresentation LearningEmbeddingsSequential ModelsBanditsReinforcement LearningA/B Testing
Benefits
- Equity
- Health Insurance
Culture
Hybrid WorkFast-PacedImpact-OrientedCustomer-ObsessedMentorship ProgramDiverse LeadershipInclusive Hiring
Requirements
Required: Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field
Regions: Us
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About Faire
Industry: e-commerce
Size: large
Faire is a technology wholesale platform that connects independent retailers with products from around the world, leveraging tech, data, and machine learning to support local businesses.
View company profile →Compensation
Base salary: $156,000 USD
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