About Faire
Faire 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’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 that small businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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.
Job Description
At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers — we use data and machine learning to constantly iterate and innovate our product offering to create more value for the ecosystem.
Faire is searching for a top-notch staff engineer to lead design and execution as we continue to build our machine learning platform that will power our wholesale marketplace. This role will architect and build scalable, reliable systems to enable seamless software driven machine learning deployment to improve Faire’s core metrics.
What You’ll Do:
What it takes:
Salary Range
Canada: the pay range for this role is $167,000 – $230,000 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.
This role will be in-office on a hybrid schedule – Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Applications for this position will be accepted for a minimum of 30 days from the posting date.
Why you’ll love working at Faire
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. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between...
How to applyJoin QuickBooks Digital Experiences team as a Senior Design Technologist to build Gen AI-powered customer-facing experiences. As part of our...
How to applyAnnotation drives AI’s capabilities. Industries across the board are embracing AI, and the backbone of this revolution is accurate data...
How to applyJob Description-AI Data Engineer Good Programming Knowledge – Python, C++ Python Libraries -Numpy, Pandas DL framework – Pytorch, Keras /...
How to applyMobileye is a pioneering force in the autonomous vehicles (AV) industry. If you are a bright hands-on developer with a...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI...
How to apply