Backend Engineer - Platform

Spotify's Hendrix Serving team is seeking a Backend Engineer to join their mission of building a robust platform for serving machine learning models. This role is central to simplifying the ML model production process and developing infrastructure that powers Spotify's recommendation systems. As part of this team, you'll work on backend services and data pipeline optimization, directly impacting how millions of users experience Spotify through ML-powered features.

The position offers a unique blend of backend engineering and machine learning infrastructure work, where you'll collaborate with ML Engineers, researchers, and product teams to create scalable inference services. You'll be working with cutting-edge technologies and have the opportunity to learn and apply new tools beyond your existing skill set.

The role is based in Toronto with a hybrid work arrangement, offering flexibility while maintaining collaborative opportunities through in-person meetings. You'll be part of Spotify's engineering culture, working on projects that directly impact the company's ML infrastructure and user experience.

This is an excellent opportunity for a backend engineer who wants to work at the intersection of infrastructure and machine learning, helping to scale and improve one of the world's leading music streaming platforms. Your work will be crucial in enabling teams across Spotify to deliver valuable predictions and enhance the user experience through ML-powered features.