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 Marketplace Quality team, you will own the modeling and measurement that keeps Faire's marketplace trustworthy for the hundreds of thousands of independent brands and retailers on it. You will work across structured and unstructured data using entity resolution, information extraction, multi-modal LLMs, calibrated classification, constrained optimization, and experimentation.
Your responsibilities include:
- Owning applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact on the marketplace.
- Building and improving pricing-integrity models that compare Faire listings against external pricing signals and detect over- and under-pricing violations with a calibrated confidence bar.
- Solving product matching and entity resolution at scale: linking Faire's catalog to external listings using text and image embeddings, retrieval, and multi-modal LLMs.
- Extracting structured attributes from unstructured listing content to power detection and enrichment.
- Turning model scores into action: designing the targeting and prioritization logic that ranks violations by expected marketplace impact against the cost of a false positive.
- Building human-in-the-loop systems with our marketplace operations partners: designing audits, generating training labels, setting precision bars, and closing the loop from review outcomes back into the models.
- Designing and analyzing experiments for enforcement levers such as downranking, badging, and brand-facing remediation, and measuring their effect on retailer trust and marketplace GMV.
Requirements:
- 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.
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.
Salary Range: $211,000 to $290,500 per year. This role will also be eligible for equity and benefits.