Senior Applied AI/ML Scientist - Listing Quality
As a Senior Applied AI/ML Scientist focusing on Listing Quality, you will drive the vision and execution of ML and AI solutions to enhance product listing quality on Faire's platform. This involves leveraging deep learning, multi-modal LLMs, and human-in-the-loop training to address critical challenges like image/text quality, attribute extraction, and duplicate identification. You will work within a cross-functional team, designing and implementing end-to-end solutions to improve brand and retailer experiences.
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. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.
Posted May 31, 2026