Senior Applied AI/ML Scientist - Listing Quality

The role

You will own modeling and measurement for catalog content including images, titles, descriptions, and structured attributes. You will use multi-modal deep learning and LLMs to drive projects from framing through production and measurement.

What you will do

• Own applied ML projects end-to-end
• Use multi-modal deep learning and LLMs to understand listing content and extract attributes
• Improve product imagery through selection, ordering, cropping, and enhancement
• Build ranking and exploration approaches
• Improve listing text including titles and descriptions
• Build LLM-as-judge and human-in-the-loop evaluation systems
• Partner across product, engineering, design, and analytics
• Solve problems related to a two-sided marketplace

Required qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e-commerce, marketplaces, catalog and content quality, search, or personalization)
• Experience with relevant technical methods (deep learning and LLMs, computer vision, information extraction, entity resolution, ranking, and/or experimentation and causal inference)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to drive a project end-to-end and lead model development with limited supervision
• Strong communication skills

Nice to have

• Master's or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience with catalog quality, product attribute extraction, computer vision for e-commerce imagery, or search and discovery for a two-sided platform
• Experience building and validating LLM evaluation pipelines

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