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Faire is a B2B wholesale marketplace connecting independent retailers globally with suppliers and brands. The company uses machine learning and data insights to help local retailers compete and thrive.
As a Staff Applied AI/ML Scientist, you will own the vision, strategy, and execution for critical machine learning problems powering Faire's two-sided marketplace. You'll lead cross-functional workstreams and mentor or manage other scientists on the team.
Key responsibilities include:
- Developing personalized recommendation, retrieval, and ranking models using structured and unstructured data
- Building content and retailer-level embeddings to power discovery and exploration
- Optimizing marketing, acquisition, and incentive spend through targeting and personalization
- Predicting lifetime value (LTV) to prioritize sales and acquisition efforts
- Improving cold-start recommendations for new users and products
- Extracting insights from internal and external data (reviews, search behavior, referrals) to enrich personalization
- Using deep learning, multi-modal LLMs, and human-in-the-loop training to understand listings and detect quality issues
- Building detection and enforcement systems to reduce counterfeits, policy violations, and poor service quality
- Re-engaging users through personalized marketing campaigns
- Mentoring or managing Senior Applied AI/ML Scientists and Analytics Engineers
You'll work with methods including causal inference, predictive modeling, recommendations, information extraction, entity resolution, deep learning, and LLMs. The team includes experienced data scientists from Uber, Airbnb, Square, Facebook, and Pinterest.
Required: 5+ years of industry ML experience solving real-world problems; experience with e-commerce, marketplaces, growth, personalization, or trust/quality; relevant technical methods; strong programming skills; tech lead experience mentoring scientists; excellent cross-functional communication.
