Data Science Intern (Personalization & Recommender Systems)
Posted
$156,000 USD
Tech Stack
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 LearningEmbeddings
Benefits
- Equity
- Health Insurance
Culture
Hybrid WorkFast-PacedImpact-OrientedCustomer-ObsessedMentorship Program
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: medium
Faire is an online wholesale marketplace connecting independent retailers with products from around the world, using technology, data, and machine learning to empower small businesses. The company focuses on supporting local communities globally by enabling entrepreneurs to compete with larger entities.
View company profile →Compensation
Base salary: $156,000 USD