About this 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, logistics, underwriting, and more - all with the goal of helping local retail thrive.

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive. 

As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?

Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

You’re excited about this role because…

• You’ll be able to work on cutting-edge search query and understanding 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
• You like to solve challenging problems related to a two-sided marketplace

Qualifications

• 5+ years of industry experience using machine learning to solve real-world problems
• Experience with search/query processing for product development
• Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,
  Solr, FAISS)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• Experience with relational databases and SQL
• The ability to contribute to team strategy and to lead model development without supervision
• Strong communication skills and the ability to work with others in a closely collaborative team environment 

Great to Haves:

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Ability to quickly implement state of the art algorithms from an academic paper
• Previous experience on graph neural network and/or language models and deep learning

Salary Range

California / New York: the pay range for this role is $203,000 - $279,000 per year. 

Colorado / Washington / New Jersey: the pay range for this role is $183,000 - $251,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.