Senior Applied AI/ML Scientist - Search

Faire • San Francisco, CA

127d • $177,500 - $244,000

About The Position

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!

Requirements

• 4 years of industry experience using machine learning to solve real-world problems
• Experience with search/query processing 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

Nice To Haves

• 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

Responsibilities

• Work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
• Use machine learning to help local retailers and independent brands succeed
• Be a foundational team member of a fast growing company
• Solve challenging problems related to a two-sided marketplace

Benefits

• Equity and benefits
• Flexible remote work up to 4 weeks per year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees