Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. We are dedicated to building machine learning models that help our customers thrive
As a member of the Retailer Growth Data team focusing on the paid marketing and top-of-funnel acquisition channels, you will develop AI/ML systems that help activate new retailers and increase their engagement. There are a wide range of ML opportunities in paid marketing optimization, from bidding optimization, search keywords intelligence, smart audience targeting to incrementality and efficiency estimation
With AI fast-growing and changing every aspect of the world, AEO (Answer Engine Optimization) is the new chapter of growth that yet needs to be figured out, where there is a huge opportunity to leverage ML and LLM to create programmatic content at scale, build reinforcement learning systems for fast feedback loop, and optimize landing experience to improve conversion
Our team already includes experienced Applied AI/ML Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!
Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to activate and engage more retailers on the platform
Work with cross-functional stakeholders to develop end-to-end product solutions
Extract deep behavioral insights using AI to automate AEO content creation and personalize the user landing experience
Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies




Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth levers
Engineer scalable solutions for complex challenges inherent to two-sided marketplace dynamics
Benefits Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
Time off: Paid time off, holidays and company-wide "Faire Fundays".
Parental leave: Generous parental and family leave, as well as fertility support benefits.
Productivity support: Monthly stipends to help cover work from home connectivity needs.
Annual learning grant: For personal and career development, as well as unlimited access to training courses through LinkedIn Learning.
Thoughtfully designed spaces: All of our offices have been designed with local in mind - from our architects to our coffee blends.
Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
Mental health advantages: Including free access to Modern Health therapists and resources.
Charitable matching: Faire will match up to £250 of your charity donations, every year.
Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.
3+ years of industry experience using machine learning to solve real-world problemsThe ability to design and implement ML solutions without supervisionAn excitement and willingness to learn new tools and techniquesExperience with relevant business problems (e-commerce)Strong communication skills and the ability to work in a highly cross-functional teamStrong programming skillsExperience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)Highly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fieldsPrevious experience in paid marketing, and/or growth team focusing on SEO and AEO optimizationPrevious experience in LLMs and programmatic content generation

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📌 Senior Applied AI/ML Scientist (Retailer Growth) (Ontario)
🏢 Faire
📍 Ontario