At GOAT Group, the Engineering team is an integral part of our dynamic company. By joining the team, your skills will be front and center, working alongside other passionate individuals to solve problems and build software. From launching compelling new consumer experiences, tackling global logistics challenges to scaling infrastructure to facilitate our rapid growth – technology is essential to driving our vision forward. The work you do will change the way the world shops, while also empowering entrepreneurs, including individual sellers, brands and boutiques.
The Machine Learning Engineering team supports almost every part of the business, including operations, fulfillment, recommendations, search, fraud detection, marketing, business development, and many more. The team uses ML together with GOAT's massive scale and data to maximize impact across the company. At GOAT, Machine Learning Engineers are expected to work full-stack and end-to-end, from communicating with stakeholders and coming up with project ideas all the way to deploying models to production. We work closely with the Machine Learning Platform team to develop the tools and systems necessary to enable this. This is an opportunity to lead the team and help set its direction.
GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become the leading and most trusted sneaker marketplace in the world. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 30 million members across 170 countries.
The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator.
We encourage you to apply even if you feel unsure about whether you meet every single requirement. We look for people who are passionate about what we do, not just those who check off all the boxes.