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Salary: CAD 180,000 - 247,500 / annual
Faire is a technology wholesale platform connecting independent retailers globally with suppliers and products. The company uses machine learning and data insights to help local retailers compete against large e-commerce and big-box competitors.
As a Senior Applied AI/ML Scientist on the Retailer Growth Data team, you will develop machine learning systems focused on paid marketing and top-of-funnel acquisition channels. Your work will help activate new retailers and increase their engagement on the platform.
Key responsibilities include:
- Drive data science vision, strategy, and execution within Retailer Growth using AI/ML solutions
- Work cross-functionally to develop end-to-end product solutions
- Extract behavioral insights using AI to automate Answer Engine Optimization (AEO) content creation and personalize user landing experiences
- Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies
- Implement experimentation and causal inference frameworks to quantify impact of growth initiatives
- Engineer scalable solutions for two-sided marketplace dynamics
You will have opportunities to work on diverse ML challenges including bidding optimization, search keyword intelligence, smart audience targeting, incrementality estimation, LLM-based programmatic content generation, and reinforcement learning systems.
The team includes experienced Applied AI/ML Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. You'll need 3+ years of industry experience solving real-world ML problems, strong programming skills, and experience with relevant business domains (e-commerce) and technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization). A Master's or PhD in Computer Science, Statistics, or related STEM fields is highly recommended.
