Kitchener, Ontario, Canada · Hybrid
$168k–$231k/yr
About Faire 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 hi…
Skills: PyTorch, LLMs, Vector Search, Python, MLOps
Kitchener, Ontario, Canada · Hybrid
$171k–$236k/yr
About Faire 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 hi…
Skills: Applied AI/ML, Agentic AI, LLM Evaluation, Python, Backend Engineering
San Francisco, California, United States · Hybrid
$196k–$270k/yr
About Faire 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 hi…
Skills: Applied AI/ML, Agentic AI, LLM Evaluation, Python, Backend Engineering
Toronto, Ontario, Canada · Hybrid
$191k–$262k/yr
About Faire 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 hi…
Skills: Backend Engineering, System Design, Ad Formats, Kotlin, Java
San Francisco, California, United States · Hybrid
$164k–$226k/yr
About Faire 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 hi…
Skills: Stock Plan Administration, Global Equity Programs, SEC Reporting, Insider Trading Programs, Shareworks
San Francisco, California, United States · Hybrid
$196k–$270k/yr
About Faire 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 hi…
Skills: SQL, Python, Data Modeling, Query Optimization, Airflow
Kitchener, Ontario, Canada · Hybrid
$88k–$121k/yr
About Faire 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 hi…
Skills: Full-cycle Recruiting, Sourcing Strategies, Candidate Negotiation, Applicant Tracking System, Stakeholder Management
London, England, United Kingdom · Hybrid
$72k–$99k/yr
About Faire 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 hi…
Skills: Pipeline Management, Outbound Sales, Closing, Objection Handling, Lead Qualification
San Francisco, California, United States · Hybrid
$148k–$204k/yr
About Faire 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 hi…
Skills: Full-cycle Recruiting, Sourcing Strategies, Candidate Experience, Pipeline Management, Negotiation
San Francisco, California, United States · Hybrid
$188k–$259k/yr
About Faire 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 hi…
Skills: Product Management, Systems Thinking, Analytical Depth, Cross-functional Execution, Structured Problem Solving
San Francisco, California, United States · Hybrid
About Faire 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 hi…
Skills: Machine Learning, Recommender Systems, A/B Testing, Representation Learning, Embeddings
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Lead the technical vision and design of real-time Search and Recommendation systems using LLMs and deep learning. Develop and productionize personalized product feeds and intelligent discovery agents with low latency.
Requires 4+ years of experience in large-scale ML systems, with at least 2 years specializing in search, recommendations, or ads ranking. Must be proficient in Python and deep learning libraries like PyTorch with a track record of productionizing models.
About Faire
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.
As a Senior Applied AI/ML Scientist on the Search group, you’ll help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search (think about what you do when you land on any e-commerce site). You’ll advance real-time Search and Recommendation systems that power next-generation shopping experiences.
You’ll work at the frontier of algorithms, combining large language models, natural-language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query.
This is a rare chance to influence end-to-end personalization in a high-scale, deeply multi-modal environment while collaborating closely with a talented team of scientists and engineers.
Canada: the pay range for this role is $168,000 to $231,000 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
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.
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.
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. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
For 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)
The future is local
Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.
Offices: 100 Potrero Avenue, San Francisco, CA 94103, US · Waterloo, Ontario N2J 0B9, CA · Toronto, Ontario M5V 1E3, CA · London, GB · New York, NY 10011, US
The future is local
Faire is a wholesale technology platform empowering brands and retailers to strengthen the unique character of local communities.
Offices: 100 Potrero Avenue, San Francisco, CA 94103, US · Waterloo, Ontario N2J 0B9, CA · Toronto, Ontario M5V 1E3, CA · London, GB · New York, NY 10011, US
