Data Scientist / Machine Learning Engineer, Faire

• You want to use machine learning to help local retailers and independent brands succeed
• You want to be a foundational team member of a fast-growing company
• You like to solve challenging problems related to a two-sided marketplace
• 1-3 years of relevant industry or research experience applying ML to real-world problems
• Familiarity or experience with personalization systems or recommendation algorithms
• Proficiency in Machine Learning / Deep Learning modeling and programming
• An excitement and willingness to learn new tools and techniques
• Strong communication skills and the ability to work with others in a closely collaborative team environment

Desirable

• As a member of the Discovery Personalization team, you’ll be responsible for:
• Personalization: Personalizing recommendations across surfaces of homepage, category page, brand page, and carousel recommendations, through retrieval embeddings models, near-real-time / streaming signals, Deep Learning or LLM-based ranking/recommendation models, explore-exploit, and diversification
• Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Meta, LinkedIn and Pinterest
• We're a lean, talented team with high opportunity for direct product impact and ownership
• You’ll be able to work on cutting-edge personalization and recommendation problems by combining a wide variety of data about our retailers, brands, and products