Faire is an online wholesale marketplace built on the belief that the future of retail is local. There are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of technology and data to connect a growing community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. By empowering entrepreneurs with the right tools and insights, we believe that we can level the playing field so that small businesses can compete with big box and e-commerce giants. 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.

Machine Learning Engineer - Search & Recommendation

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 Machine Learning Engineer you’ll own the machine learning platform that powers all of our search and recommendation surfaces. You'll focus on iterating on our online feature store, scaling it alongside our business. You'll tackle complex problems like platform-izing retrieval, empowering teams to rapidly iterate on retrieval. You'll be in charge of extending our ranking platform, personalizing recommendations everywhere. You'll support our data warehouse, enhancing the feedback loop power that powers our machine-learning models.

Our team already includes experienced Data Scientists and Machine Learning Engineers from Facebook, Uber, Airbnb, Square, 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 & ranking 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 build out the latest and greatest machine-learning infrastructure
  • You want to build out the latest and greatest machine-learning infrastructure
  • You like to solve challenging problems related to a two-sided marketplace

Qualifications

  • B.S., M.S., or PhD. in Computer Science or equivalent
  • 3+ years of industry experience in machine-learning organizations
  • Experience with modern back-end machine learning tech stacks
  • Strong fundamental programming skills
    • Object-oriented design
    • Functional programming
    • Systems Design
  • An excitement and willingness to learn new tools and techniques
  • Experience with relational databases and SQL
  • Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves:

  • Experience with DynamoDB, Redis, Elasticsearch, Kinesis Firehose, Redshift/Snowflake
  • Experience with Java/Kotlin
  • Experience working with complex systems at scale
    • Monitoring & Alerting
    • Performance analysis
    • Designing software for low latency and high through-put
  • Experience training and launching machine-learning models

Why you’ll love working at Faire: 

  • We are entrepreneurs: We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
  • We are using tech and machine learning to level the playing field: We are using the power of technology and data to connect brands and boutiques from all over the world, building a thriving community of over 100,000 small business owners.
  • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
  • We are curious and resourceful: We always find a way to get the job done and come up with creative solutions to whatever problems are standing in our way. People at Faire are insatiably curious. We lead with curiosity and data in our decision making and reason from a first principles mindset. 

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have offices in San Francisco, Kitchener-Waterloo, and Salt Lake City. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. To learn more about Faire and our customers, you can read more on our blog

Faire is being built for entrepreneurs, by entrepreneurs.

Additional Information

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression

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