Senior Data Scientist / Machine Learning Engineer, Faire

Search, Personalization, Ads

$177-244k

+Equity

Mid and Senior level
San Francisco Bay Area
Faire

Online wholesale marketplace

Open for applications

Faire

Online wholesale marketplace

1001+ employees

RetailB2BMarketplaceSustainabilityConsumer GoodseCommerce

Open for applications

$177-244k

+Equity

Mid and Senior level
San Francisco Bay Area

1001+ employees

RetailB2BMarketplaceSustainabilityConsumer GoodseCommerce

Company mission

To empower entrepreneurs around the world to chase their dreams.

Role

Who you are

  • 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
  • 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
  • 4 years of industry experience using machine learning to solve real-world problems
  • Experience and strong understanding of search / personalization / ads for product development
  • Strong programming skills
  • An excitement and willingness to learn new tools and techniques
  • Experience with deep learning
  • 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

Desirable

  • 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

What the job involves

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

Application process

  • Applications for this position will be accepted for a minimum of 30 days from the posting date

Our take

Faire is a company that helps retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to tens of thousands of brands across the globe.

In addition to a large catalog, the company attracts smaller retailers by offering net 60-day terms and free returns to boost confident buying at unpredictable times. Faire has seen impressive growth, reporting 300% year-on-year volume growth and a valuation of over $12.6B following its most recent tranche of funding from Shopify.

This investment is funding its continuing expansion into European and Australian markets, while accelerating product development, focusing on its OS for wholesale. It is also hiring talent globally as it takes aim at becoming a kind of Amazon for local and indie brands that want to sell globally.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

109% employee growth in 12 months

Company

Employee endorsements

Opportunities to learn

"I joined Faire over a month ago and the onboarding has been very comprehensive including some additional material that has been extremely helpful..."

Funding (last 2 of 10 rounds)

May 2022

$416m

SERIES G

Nov 2021

$400m

SERIES G

Total funding: $1.5bn

Company benefits

  • Comprehensive healthcare
  • All of our offices have been designed with local in mind—from our architects to our coffee blends
  • Paid vacation time, holidays, and company-wide “Faire Fundays.”
  • Including a monthly credit toward your wellness-related programs
  • Generous parental and family leave, as well as fertility support benefits
  • Including free access to Modern Health therapists and resources
  • Optional morning meditation, plus a free Headspace membership
  • Faire will match up to US$250 of your charitable donations, every year
  • For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
  • Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore

Company values

  • We serve our community
  • We seek the truth
  • We’re all owners
  • We embrace the adventure
  • We’re kind

Leadership

Was previously an Advisor at Blunt Umbrellas and Director of Consumer Product at Square.

Former Director of Security and Risk Engineering at Square, prior to co-founding Faire.

Previously a Senior Software Engineer at Google. Before that, co-founded FreePoint Inc.

Was Operations Lead at Square. Before that was a Business Analust for McKinsey and Co.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

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Diversity, Equity & Inclusion at Faire

Clarence Sanon  headshot

Clarence Sanon (Engagement and Inclusion Manager)

  • We have internal structures and mechanisms that acknowledge and counteract organizational bias while ensuring equitable opportunity across the organization.
  • Our teams are balanced across demographic backgrounds and identities, ensuring equity at all levels of the organization and ensuring a region-specific nuance
  • Faire Femmes: Our mission is to build a space that is inclusive, safe, and empowering for those who identify as women to succeed
  • HUE: Our mission is to create a safe space where folks of colour can feel comfortable being themselves and talk to folks who get it. We want HUE members to feel confident expressing themselves, their culture, and their heritage
  • Flaire: Our mission is to empower all Faire employees to express their whole selves at work, and to make Faire an inclusive environment for all members of the LGBTQ+ community
  • ​​Fairents: Our mission is to cultivate Faire into a company where working parents can thrive in their professional ambitions, maximize their impact supporting Faire business goals, and be successful in their pursuit of rewarding & fulfilling journeys as parents
  • We have employee resource groups (ERGs) and a cross-functional Diversity, Equity, Inclusion, and Belonging Council (DEIB) at Faire. The DEIB Council works in collaboration with other functions to ensure integration and consideration of DEIB in policies, programs, products, and processes

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