Senior Applied AI/ML Scientist - Retailer Growth

The role

You will develop AI/ML systems to activate and engage new retailers. You will work on marketing optimization, content creation, and landing experience improvements using ML and LLM.

What you will do

• Drive data science vision, strategy, and execution within Retailer Growth
• 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 targeting and bidding optimization strategies
• Implement experimentation and causal inference frameworks to quantify growth lever impact
• Engineer scalable solutions for two-sided marketplace dynamics

Required qualifications

• 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)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team

Nice to have

• Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience in paid marketing, and/or growth team focusing on SEO and AEO optimization
• Previous experience in LLMs and programmatic content generation

Benefits

• Flexible paid time off
• Company-wide recharge days
• Paid parental leave up to 16 weeks
• Comprehensive health coverage
• Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance
• Mental health support and coaching through Modern Health
• Stipends to support professional development, wellness, and work from home needs
• Employer-sponsored retirement plan

About the company

Faire is a technology wholesale platform that uses tech, data, and machine learning to connect independent retailers with products from around the world. Founded in 2017 by early product and engineering leads from Square, it has headquarters in San Francisco and Kitchener-Waterloo.