About FaireFaire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually they are small compared to these massive entities. At Faire we use the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.About This RoleFaire 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. 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.What You’ll DoDrive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.Use deep learning, LLM fine tuning,



and human‑in‑the‑loop training to automatically detect and address issues with high accuracy.Act as a lead on the cross‑functional Listing Quality pod, thinking end‑to‑end about brand and retailer experiences.Qualifications3+ years of industry experience using machine learning to solve real‑world problemsExperience with relevant business problems (e.G., e‑commerce)Experience with relevant technical methods (e.G., LLM fine tuning, deep learning, or human‑in‑the‑loop machine learning)Strong programming skillsExcitement and willingness to learn recent tools and techniquesThe ability to design and implement ML solutions without supervisionStrong communication skills and the ability to work in a highly cross‑functional teamGreat To HavesMaster’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommendedPrevious experience in listing quality for e‑commercePrevious experience in supervised fine tuning of multi‑modal LLMsExperience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impactSalary RangeCanada: the pay range for this role is $180,000 to $247,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.Remote & Office PolicyHybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays,



and a third flex day of their choosing (Monday, Wednesday, or Friday). Hybrid in‑office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as indicated in the job posting.Why you’ll love working at FaireWe are entrepreneurs: Faire is built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams.We use technology and data to level the playing field: we leverage product innovation and machine learning to connect brands and boutiques worldwide.We build products our customers love: everything we do is ultimately in the service of helping our customers grow their business.We are curious and resourceful: inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to challenges.EEO StatementFaire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.Ly/faire-form).PrivacyFor information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.Faire.Com/privacy).#J-18808-Ljbffr

📌 Senior Applied Ai/Ml Scientist - Listing Quality - $180,000 - $247,500 A Year (Winnipeg)
🏢 Faire
📍 Winnipeg