Faire · 2 hours ago
Senior Applied AI/ML Scientist - Search Ads
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$192K/yr - $264K/yr
4+ years expFaire is an online wholesale marketplace committed to empowering independent retailers. The Senior Applied AI/ML Scientist will play a crucial role in developing machine learning algorithms for Search Ads, focusing on enhancing ad relevance and optimizing marketplace outcomes.
E-CommerceMarketplaceRetailRetail TechnologyWholesale
Responsibilities
Own and evolve the Search Ads relevance stack—spanning query understanding, targeting, candidate generation, multi-stage ranking, and calibration—while meeting stringent latency and reliability goals
Design and productionize ML models that improve sponsored-result relevance and personalization, using a blend of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features
Partner closely with engineering and product to connect relevance improvements to ads marketplace outcomes (e.g., conversion, long-term retailer experience, advertiser ROI), using rigorous offline evaluation and online experiments
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 experience building and shipping ML systems in production, with meaningful experience in search, recommendation, or ads ranking/retrieval
Hands-on experience with modern deep learning tooling (e.g., PyTorch) and familiarity with vector search / embedding-based retrieval concepts (e.g., Faiss, ScaNN, Pinecone)
A strong track record of productionizing models that blend LLMs (e.g., BERT / GPT-class) with structured features to drive relevance and personalization
Product-focused mindset and a bias toward execution—moving quickly from research to measurable user and business impact
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