Staff Applied AI/ML Scientist - Brand Growth & Marketplace Quality

Faire
San Francisco
Workplace: HybridFull timeUSD 246,500 - 339,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Cross-functional collaboration","Willingness to learn"]

Own the end-to-end applied ML strategy for Faire’s two-sided marketplace, driving improvements in personalization, discovery, incentive optimization, and lifetime value modeling. Lead tech and cross-functional execution across structured and unstructured data, including recommendations, causal inference, and entity resolution. Build deep learning and multi-modal LLM approaches for extracting attributes and detecting marketplace quality issues, while mentoring or managing senior scientists to scale model development and outcomes.

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Faire
Faire
1 day ago

Staff Applied AI/ML Scientist - Brand Growth & Marketplace Quality

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own the end-to-end applied ML strategy for Faire’s two-sided marketplace, driving improvements in personalization, discovery, incentive optimization, and lifetime value modeling. Lead tech and cross-functional execution across structured and unstructured data, including recommendations, causal inference, and entity resolution. Build deep learning and multi-modal LLM approaches for extracting attributes and detecting marketplace quality issues, while mentoring or managing senior scientists to scale model development and outcomes.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key Responsibilities

  • •Drive data science vision, strategy, and end-to-end execution, acting as a pod lead across cross-functional workstreams.
  • •Build personalized recommendation, retrieval, and ranking models, including retailer-level and content embeddings to improve discovery experiences.
  • •Use experimentation and causal inference to optimize marketing/acquisition/incentive spend and measure the effectiveness of spend levers.
  • •Develop lifetime value predictions and improve cold-start recommendations to personalize new-user experiences and exploration.
  • •Build marketplace quality systems (e.g., downranking and human-in-the-loop targeting) to detect and reduce bad experiences; mentor or manage senior applied ML scientists and analytics engineers.

Pay and Benefits

Salary: USD 246,500 - 339,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of industry experience using machine learning to solve real-world problems.
  • •Experience applying ML to business problems such as e-commerce, marketplaces, growth, personalization, incentives, or trust and quality.
  • •Experience with technical methods including causal inference, predictive/lifetime-value modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs.
  • •Strong programming skills.
  • •Experience as a tech lead, mentoring others, and setting team strategy and leading model development without supervision.
Experience:E-commerceMarketplacesGrowthPersonalizationTrust and qualityLLMsDeep learning
Skills:CommunicationCross-functional collaborationWillingness to learn
Languages:English
Tech Stack:Machine learningCausal inferencePredictive modelingRecommendationsInformation extractionEntity resolutionDeep learningLLMsHuman-in-the-loop

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn