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Applied AI / ML Scientist - Ads Bidding

2 months ago
United States
Full-time
Junior
Data Scientist
Data Science and Analytics
Machine Learning SQL Statistics
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Faire

Faire

Faire is an online wholesale marketplace connecting independent retailers with unique merchandise from around the world. With flexible payment terms, free returns, and personalized recommendations, Faire empowers small businesses to compete with larger...

Textiles, Apparel & Luxury Goods
1K-5K
Founded 2017
$1500M raised
View All Jobs 7

Description

  • Own the end-to-end development of machine learning models across the ads bidding stack, from problem framing through deployment and impact measurement.
  • Build models and algorithms for auction optimization, bid shading, bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization.
  • Define and improve bidding and pacing strategies that balance advertiser performance, marketplace health, and platform economics.
  • Help define the Ads Data team’s roadmap and technical culture as an early contributor to the team.
  • Collaborate closely with engineers, product managers, and designers to launch and iterate on ad systems.
  • Use experimentation and measurement to evaluate model performance and business impact.
  • Apply marketplace optimization and experimentation best practices to ad products.

Requirements

  • 2+ years of industry experience using machine learning to solve real-world problems.
  • Experience in Ads, Marketplace Optimization, Pricing, Auctions, or a related large-scale production domain is preferred.
  • Demonstrated ownership of the full machine learning lifecycle, including scoping, design, training, deployment, A/B testing, and iteration.
  • Strong programming skills.
  • Experience with relational databases and SQL.
  • Ability to contribute to team strategy and lead model development without supervision.
  • Strong communication skills and the ability to work in a closely collaborative team environment.
  • Master’s or PhD in Computer Science, Statistics, or a related STEM field is highly recommended.
  • Ability to quickly implement state-of-the-art algorithms from an academic paper is a plus.

Benefits

  • Base salary of $162,500 to $223,500 per year in San Francisco.
  • Eligibility for equity.
  • Eligibility for benefits.
  • Hybrid work schedule with 3 days per week in the office (Tuesday, Thursday, and one flexible day).
  • Flexibility to work remotely up to 4 weeks per year.
  • Equal employment opportunity and reasonable accommodation support throughout the recruitment process.

Interested in this position?

Apply directly on the company website

Apply Now

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