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Senior Applied AI/ML Scientist - Brand Growth

Faire · San Francisco

New
Hybrid Senior 211,000 - 290,500 USD/year 🇬🇧 English
Machine Learning LTV Modeling NLP LLMs Causal ML Bidding Optimization Personalization

Job description

About the role

Faire is a technology wholesale platform connecting independent retailers worldwide with products from hundreds of thousands of brands. Its Applied AI/ML Scientists build algorithmic solutions for notification and recommender systems, advertising attribution and LTV predictions. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will own the modeling and measurement for problems that help Faire acquire and grow brands on its marketplace. You will work across structured and unstructured data, partnering with product, engineering, marketing and sales.

Key responsibilities

  • Own applied ML projects end-to-end: frame the problem, build and ship the model, and measure impact.
  • Optimize marketing and acquisition spend for new brands through 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 such as retailer search behavior, referrals and third-party sources.
  • Use experimentation and causal inference to measure the effectiveness of growth and spend levers.
  • Partner across product, engineering, marketing, sales and analytics to turn models into shipped product and business impact.

Required profile

  • 3+ years of industry experience using machine learning to solve real-world problems.
  • Experience with relevant business problems (e-commerce).
  • Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization).
  • Ability to design and implement ML solutions without supervision.
  • Strong communication skills and ability to work in a highly cross-functional team.
  • An excitement and willingness to learn new tools and techniques.

Required skills

  • Strong programming skills.
  • LTV modeling, NLP, LLMs, causal ML, bidding optimization.

What we offer

  • Pay range of $211,000 to $290,500 per year in San Francisco, plus eligibility for equity and benefits.
  • Hybrid work: 3 days in the office per week, with remote work up to 4 weeks per year.
  • Flexible paid time off, paid parental leave up to 16 weeks, and comprehensive health coverage.
  • Fertility and family-building benefits, mental health support, professional development stipends and an employer-sponsored retirement plan.

Questions fréquentes

Le salaire proposé pour ce poste est de 211-291k USD par an. Le détail figure dans l'annonce.
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Published 14 hours ago

Expires 1 month from now

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Faire

San Francisco