Senior Machine Learning Engineer
About Faire
Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. 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 are constantly iterating and innovating our product offering to create more value for the ecosystem.
You will be working closely with other data scientists, engineers, and product managers to drive projects that derive value from our unique, rich, and rapidly growing data on two sided marketplace. You will lead projects that enable software driven machine learning deployment to improve Faire’s core metrics.
What you will be doing:
What it takes:
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 Salt Lake City, Atlanta, Toronto, London, New York, LA, and Sao Paulo. 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 Wholesale
North America • Remote
Full-Time
Machine Learning