Data Science Intern (Personalization & Recommender Systems)

Posted

FaireSan Francisco, CAHybridinternshipintern

$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