Staff Applied AI/ML Scientist

The role

You will own the vision, strategy, and execution for problems powering a two-sided marketplace. You will develop machine learning models for recommendation, spend optimization, and lifetime value predictions.

What you will do

• Drive data science vision, strategy, and execution end-to-end
• Act as a pod lead across cross-functional workstreams
• Develop personalized recommendation, retrieval, and ranking models
• Build content and retailer-level embeddings
• Optimize marketing, acquisition, and incentive spend
• Predict lifetime value to prioritize sales and acquisition effort
• Improve cold-start recommendations and exploration
• Extract insights from internal and external data
• Use deep learning, multi-modal LLMs, and human-in-the-loop training
• Build detection, enforcement, and quality systems

Required qualifications

• 5+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e-commerce, marketplaces, growth, personalization, incentives, or trust and quality)
• Experience with relevant technical methods (causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• Experience as a tech lead, mentoring other scientists or machine learning engineers
• Ability to set team strategy and lead model development without supervision
• Strong communication skills

Nice to have

• Master's or PhD in Computer Science, Statistics, or related STEM fields
• Experience as a tech lead manager or people manager of applied ML / data science teams
• Previous experience in marketplace growth, incentive optimization, or trust and quality for a two-sided platform
• Previous experience with deep learning or language models

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
• 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 and brands. The company was founded in 2017 by a team of early product and engineering leads from Square.