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, retrieval, personalization, recommendations and more - all with the goal of helping local retail thrive.

The Data 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 Personalization for the Data team you’ll be responsible for developing machine learning-powered retrieval solutions and ranking models for personalized recommendations and building content understanding, and retailer-level embeddings to power better retailer exploration experiences. For this role, you are also going to work with your manager and product manager closely on team roadmap planning and technical vision layout, and you will have the opportunity to guide other team members to provide technical mentorship.

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 recommendation and personalization 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 recommendation / personalization for product development
• 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 $209,500 to $288,000 per year. 

Colorado / Washington / New Jersey: the pay range for this role is $189,000 to $259,500 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.