Senior Data Scientist / Machine Learning Engineer - Listing Quality

Faire
San Francisco
Workplace: HybridFull timeUSD 211,000 - 290,500 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Communication","Cross-functional collaboration","Project ownership","Problem-solving"]

Own end-to-end applied ML projects for Faire’s Listing Quality team, improving catalog images and product text so listings are easier to find, evaluate, and buy. Use multimodal deep learning and LLMs to extract structured attributes and detect quality issues at catalog scale, build ranking and selection approaches, and design measurable LLM evaluation systems with human-in-the-loop. Partner across product, engineering, design, and analytics to ship models that drive discovery and conversion.

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Faire
Faire
21 hours ago

Senior Data Scientist / Machine Learning Engineer - Listing Quality

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own end-to-end applied ML projects for Faire’s Listing Quality team, improving catalog images and product text so listings are easier to find, evaluate, and buy. Use multimodal deep learning and LLMs to extract structured attributes and detect quality issues at catalog scale, build ranking and selection approaches, and design measurable LLM evaluation systems with human-in-the-loop. Partner across product, engineering, design, and analytics to ship models that drive discovery and conversion.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact.
  • •Use multimodal deep learning and LLMs to understand listing content, extract structured product attributes, and detect quality issues at catalog scale.
  • •Improve product imagery through hero image selection, image ordering, cropping, and enhancement to represent products accurately.
  • •Build ranking and exploration approaches (e.g., bandit-style selection) and improve listing text and information coverage to drive discovery and conversion.
  • •Develop LLM-as-judge and human-in-the-loop evaluation systems, and partner with cross-functional teams to ship models that create measurable business impact.

Pay and Benefits

Salary: USD 211,000 - 290,500 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of industry experience using machine learning to solve real-world problems.
  • •Experience with e-commerce, marketplaces, catalog/content quality, search, or personalization business problems.
  • •Experience with deep learning and LLMs, computer vision, information extraction, entity resolution, ranking, and/or experimentation and causal inference.
  • •Strong programming skills and willingness to learn new tools and techniques.
  • •Ability to drive projects end-to-end with limited supervision and communicate effectively in a cross-functional team.
Experience:3+ yearsE-commerceMarketplaces
Education:
Skills:CommunicationCross-functional collaborationProject ownershipProblem-solving
Languages:English
Tech Stack:Machine learningDeep learningLLMsComputer visionInformation extractionEntity resolutionRankingExperimentationCausal inferenceLLM evaluationHuman-in-the-loopBandit-style selection

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