Description
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
As a Senior Applied AI/ML Scientist on the Listing Quality team, you will own the modeling and measurement for the content that powers Faire's catalog: the images, titles, descriptions, and structured attributes across millions of products from hundreds of thousands of independent brands.
You will work primarily with unstructured data using multi-modal deep learning and LLMs, and you will drive projects end-to-end from framing through production and measurement.
Responsibilities:
- Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact.
- Use multi-modal deep learning and LLMs to understand listing content, extract structured product attributes, and detect quality issues at catalog scale.
- Improve product imagery through hero image selection, image ordering, cropping, and enhancement, so that the best representation of a product is the one retailers see.
- Build ranking and exploration approaches that learn which content performs best for which audience.
- Improve listing text: titles, descriptions, and product information coverage, and measure the downstream effect on discovery and conversion.
- Build LLM-as-judge and human-in-the-loop evaluation systems, and hold them to a measurable accuracy bar before they gate production decisions.
- Partner across product, engineering, design, and analytics to turn models into shipped product and business impact, and to drive brand-facing nudges that improve listings at the source.
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 and the ability to work in a highly cross-functional team.
Benefits:
- Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.