Faire · 22 hours ago
Senior Applied AI/ML Scientist - Ads Bidding
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$192K/yr - $264K/yr
4+ years expFaire is an online wholesale marketplace focused on empowering independent retailers globally. The role involves owning the development of machine learning models for optimizing ads bidding strategies and enhancing the ads marketplace, working collaboratively with engineers and product managers.
E-CommerceMarketplaceRetailRetail TechnologyWholesale
Responsibilities
Own the end-to-end development of ML models across the ads bidding stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement
Build best-in-class models and algorithms for auction optimization, bid shading and bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization—drawing from marketplace optimization and experimentation best practices
Define and improve bidding and pacing strategies that balance advertiser performance, marketplace health, and platform economics (e.g., spend smoothing, delivery guarantees, seasonal demand, and inventory constraints)
As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire *should* be—not just how they’re built
Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest)
Qualification
Required
4+ years of industry experience using machine learning to solve real-world problems, ideally in Ads, Marketplace Optimization, Pricing, Auctions, or a related large-scale production domain
Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration
Strong programming skills
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
Preferred
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
Benefits
Equity
Benefits
Company
Faire
Faire is a marketplace and wholesale platform that helps retailers find and buy wholesale merchandise for their stores.
1001-5000 employees
H1B Sponsorship
Faire has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (8)
2023 (14)
2022 (26)
2021 (9)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$1.71BKey Investors
WCM Investment ManagementShopifySequoia Capital
2025-11-17Secondary Market
2023-09-27Corporate Round
2022-05-10Series G· $416M
Leadership Team
Max Rhodes
Co-founder and CEO
Daniele Perito
Board Member & Co-Founder
Recent News
Crunchbase News
2026-01-22
Digital Commerce 360
2025-12-31
Company data provided by crunchbase