Data Science Intern (Personalization & Recommender Systems)

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

Benefits

• Equity
• Health Insurance

Culture

Requirements