Senior Applied AI/ML Scientist - Marketplace Quality

Faire
San Francisco
Workplace: HybridFull timeUSD 211,000 - 290,500 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Communication","Cross-functional collaboration","Problem-solving","Learning mindset","End-to-end ownership"]

Build and ship end-to-end machine learning models that protect pricing integrity and marketplace trust. You’ll match and reconcile Faire listings with external data at scale, extract structured attributes from text, images, and third-party sources, and turn calibrated model scores into human-in-the-loop enforcement with constrained review budgets. Partner across product, engineering, operations, and analytics to design experiments and measure impact on retailer trust and marketplace GMV.

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FursaFursa
Faire
Faire
2 days ago

Senior Applied AI/ML Scientist - Marketplace Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build and ship end-to-end machine learning models that protect pricing integrity and marketplace trust. You’ll match and reconcile Faire listings with external data at scale, extract structured attributes from text, images, and third-party sources, and turn calibrated model scores into human-in-the-loop enforcement with constrained review budgets. Partner across product, engineering, operations, and analytics to design experiments and measure impact on retailer trust and marketplace GMV.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Own applied ML projects end-to-end, from framing through production and measurement of marketplace impact.
  • •Build and improve pricing-integrity models to detect over- and under-pricing using calibrated confidence.
  • •Solve product matching and entity resolution at scale using retrieval and multi-modal LLMs, and build match-quality/gating models.
  • •Extract structured attributes from unstructured listing content to support detection and enrichment.
  • •Design targeting/prioritization logic and human-in-the-loop enforcement systems, including audits and feedback loops, and run experiments on enforcement levers.

Pay and Benefits

Salary: USD 211,000 - 290,500 annually
Perks:Equity

Key Requirements

  • •3+ years of industry experience using machine learning to solve real-world problems.
  • •Experience applying ML to business problems such as e-commerce, marketplaces, catalog/content quality, search, or personalization.
  • •Experience with technical methods including deep learning and LLMs, computer vision, information extraction, entity resolution, ranking, and/or experimentation and causal inference.
  • •Strong programming skills and the ability to drive project execution end-to-end with limited supervision.
  • •Strong communication skills and experience working cross-functionally.
Experience:3+ yearsE-commerceMarketplacesCatalog qualityContent qualitySearchPersonalizationMachine learningLLMsComputer vision
Education:
Skills:CommunicationCross-functional collaborationProblem-solvingLearning mindsetEnd-to-end ownership
Languages:English
Tech Stack:Machine learningLLMsDeep learningComputer visionInformation extractionEntity resolutionRankingExperimentationCausal inferenceMulti-modal LLMsConstrained optimizationCalibrated classificationText embeddingsImage embeddings

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