Senior Applied ML/AI Scientist - Search

Job Title: Senior Applied ML/AI Scientist - Search Company: Faire Job Category: Machine Learning Roles & Responsibilities: About The Role Search is how retailers do their jobs on Faire. Wholesale queries and retailer expectations look different from consumer e\-commerce and the right product depends on the store's category, price point, and aesthetic. When we get it wrong, it costs real money. Hybrid 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).* Additionally, 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 will be indicated in the job posting.* Why you’ll love working at Faire * 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. * Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. * Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener\-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Work Location: Kitchener, Ontario, Canada Availability: Full time

Bonus Points * Marketplace or e\-commerce experience * Publications, open\-source work, or public writing on search and recommender systems. * MS or PhD in CS, Statistics, or a related field. Salary Range Canada: the pay range for this role is $180,000 to $247,500 per year. Key Skills: Machine Learning, Python Salary: $180,000 to $247,500 per year