Senior Applied AI/ML Scientist, Faire

• We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement
• 4+ years of industry experience using machine learning to solve real-world problems
• Experience and strong understanding of personalization for product development
• Strong Machine Learing / Deep Learning modeling and programming skills
• 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
• 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

Desirable

• Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores
• Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions related to discovery, ranking, search, recommendations, ads, logistics, underwriting, and more
• Our ultimate goal is to empower local retail businesses with the tools they need to succeed
• As a member of the Discovery Personalization team you’ll be responsible for:
• Personalization: Personalizing recommendation 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