Manager, Machine Learning Engineering

Save to Kiter
What Goat is looking for in applicants
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.

Want some tips on how to get an interview at Goat?

What is Goat looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Manager like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Manager?
A great first step is organizing your path to an offer. Check out Kiter for tools to get started!