Senior Applied AI/ML Scientist - Brand Growth

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

Own applied machine learning projects end-to-end for brand growth on a two-sided marketplace, from problem framing and model building to production and impact measurement. Develop and ship models for notification and recommender systems, advertising attribution, LTV predictions, and cold-start improvements. Optimize acquisition spend using targeting, lookalike audiences, personalization, experimentation, and causal inference—partnering closely with product, engineering, marketing, sales, and analytics.

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Faire
Faire
6 hours ago

Senior Applied AI/ML Scientist - Brand Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own applied machine learning projects end-to-end for brand growth on a two-sided marketplace, from problem framing and model building to production and impact measurement. Develop and ship models for notification and recommender systems, advertising attribution, LTV predictions, and cold-start improvements. Optimize acquisition spend using targeting, lookalike audiences, personalization, experimentation, and causal inference—partnering closely with product, engineering, marketing, sales, and analytics.
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 building/shipping the model and measuring impact.
  • •Optimize marketing and acquisition spend using targeting, lookalike audiences, and personalization.
  • •Predict brand lifetime value to prioritize brand leads for sales and personalize new-brand onboarding.
  • •Improve cold-start recommendations and exploration so new brands find the right retailer audience quickly.
  • •Identify and enrich brand leads from internal and external data, and use experimentation/causal inference to measure growth and spend levers.

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 applying ML to business problems in e-commerce.
  • •Experience with technical methods including LTV modeling, NLP, LLMs, causal ML, and bidding optimization.
  • •Strong programming skills and the ability to design and implement ML solutions without supervision.
  • •Strong communication skills and the ability to work in a highly cross-functional team.
Experience:3+ years
Skills:CommunicationCross-functional collaborationLearning mindset
Languages:English
Tech Stack:Machine learningNLPLLMsCausal MLBidding optimizationLTV modelingExperimentationCausal inference

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