Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About the Role:

Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, ads, logistics, underwriting, and more - all with the goal of helping local retail thrive. 

As a member of the Discovery Data team you’ll be responsible for one of the following areas: 

• Search: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).
• Personalization: Personalizing recommendation surfaces through embeddings, near-real-time / streaming signals, explore-exploit, and diversification.
• Ads / Sponsored Products: Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up and tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design. 

Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, LinkedIn and Pinterest. We're a lean, talented team with high opportunity for direct product impact and ownership. 

You’re excited about this role because… 

• You’ll be able to work on cutting-edge search / personalization / ads problems combining a wide variety of data about our retailers, brands and products
• 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
…