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. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. You’ll work across the full modern search stack: transformer-based embedding retrieval serving live traffic, LLMs powering query understanding and query rewriting, fine-tuned vision-language models scoring relevance, and graph-based retrieval — with generative retrieval and semantic IDs on the horizon. Contribute to the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with Own one or more search components end to end: problem framing, modeling, production code, experiment design, and the call on what to build next. Ship to live traffic and let A/B tests, not opinions, settle what works. 3+ years building production ML systems, with meaningful time in search, recommendations,



or another retrieval-and-relevance domain. ~ Shipped models that served real traffic, and owned the experiments that proved (or disproved) their value. ~ Depth somewhere in the modern retrieval stack — dual encoders and ANN serving, LLM-based query understanding, learning-to-rank fundamentals — and the ability to pick up the rest. ~ Strong Python and the engineering chops to take your own models to production. ~ Excellent product judgment to connect customer and business context to technical decisions Bonus Points Publications, open-source work, or public writing on search and recommender systems. MS or PhD in CS, Statistics, or a related field. 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. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. 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. You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an setting where every Faire employee has equal access to opportunities, growth, and success. Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. To learn more about Faire and our customers, you can read more on our blog . Faire 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 throughout the recruitment process.

📌 Senior Applied ML/AI Scientist (Toronto)
🏢 Faire Wholesale
📍 Toronto