Taro Logo

Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

Faire is an online wholesale marketplace connecting independent retailers with brands globally.
$167,000 - $230,000
Data
Staff Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · E-Commerce
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

Faire is an online wholesale marketplace revolutionizing local retail. We're seeking a Staff Data Scientist / Machine Learning Engineer to join our Discovery Data team, focusing on Search, Personalization, or Ads. You'll work on cutting-edge problems using machine learning to help local retailers compete with e-commerce giants.

Key responsibilities include:

  • Optimizing search through query understanding, retrieval, ranking, and whole-page optimization
  • Personalizing recommendation surfaces using embeddings and near-real-time signals
  • Building Ads Delivery and Advertiser Optimization systems from the ground up

You'll join a team of experienced professionals from top tech companies, working in a collaborative environment with high impact potential. This role offers the opportunity to solve challenging problems in a two-sided marketplace while supporting local businesses.

Qualifications:

  • 5+ years of industry experience in machine learning
  • Strong programming skills and deep learning experience
  • Ability to lead cross-team technical strategies and solve long-term problems
  • Experience in search, personalization, or ads for product development

Faire offers competitive compensation, equity, and benefits. We have a hybrid work model with 2 days in-office per week and flexibility for remote work.

Join us in empowering entrepreneurs and driving positive economic impact in local communities globally!

Last updated a year ago

Responsibilities For Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

  • Optimize search through query understanding, retrieval, ranking, and whole-page optimization
  • Personalize recommendation surfaces using embeddings and near-real-time signals
  • Build Ads Delivery and Advertiser Optimization systems from the ground up
  • Lead cross-team and cross-functional technical strategy and roadmap
  • Solve long-term open-ended problems
  • Drive significant business impact for the whole organization

Requirements For Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

Python
  • 5+ 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
  • Experience with deep learning
  • Ability to contribute to team strategy and lead model development without supervision
  • Strong communication skills
  • Master's or PhD in Computer Science, Statistics, or related STEM fields (highly recommended)

Benefits For Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads

Equity
  • Equity
  • Competitive salary
  • Flexible remote work options