Senior Applied AI/ML Scientist - Retailer Growth

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

Build applied AI/ML systems for Faire’s Retailer Growth team to activate new retailers and increase engagement across paid marketing and top-of-funnel acquisition. You’ll develop solutions spanning recommender and notification systems, advertising attribution, LTV predictions, and AEO content automation using LLMs, reinforcement learning, and causal inference. Partner with cross-functional stakeholders to optimize targeting and bidding, engineer scalable marketplace workflows, and validate impact through rigorous experimentation.

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Faire
Faire
19 hours ago

Senior Applied AI/ML Scientist - Retailer Growth

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

Job Summary

Build applied AI/ML systems for Faire’s Retailer Growth team to activate new retailers and increase engagement across paid marketing and top-of-funnel acquisition. You’ll develop solutions spanning recommender and notification systems, advertising attribution, LTV predictions, and AEO content automation using LLMs, reinforcement learning, and causal inference. Partner with cross-functional stakeholders to optimize targeting and bidding, engineer scalable marketplace workflows, and validate impact through rigorous experimentation.
Location: San Francisco, Waterloo, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Drive data science vision, strategy, and execution within Retailer Growth to activate and engage more retailers.
  • •Collaborate with cross-functional stakeholders to deliver end-to-end product solutions.
  • •Extract behavioral insights to automate AEO content creation and personalize user landing experiences.
  • •Optimize marketing capital allocation using targeting and bidding optimization strategies.
  • •Implement experimentation and causal inference to quantify the impact of growth levers and engineer scalable solutions for two-sided marketplace dynamics.

Pay and Benefits

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

Key Requirements

  • •3+ years of industry experience using machine learning to solve real-world problems.
  • •Experience applying machine learning to business problems in e-commerce.
  • •Experience with technical methods including LTV modeling, NLP, LLMs, causal ML, and bidding optimization.
  • •Strong programming skills and ability to design and implement ML solutions without supervision.
  • •Strong communication skills and ability to work effectively in a highly cross-functional team.
Experience:3+ years
Education:
Skills:CommunicationCross-functional collaborationProblem-solvingContinuous learning
Tech Stack:Machine learningNLPLLMsLTV modelingCausal MLCausal inferenceBidding optimizationReinforcement learningRecommender systemsAdvertising attributionAEOProgrammatic content generationExperimentation frameworks

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