Join Spotify's Hendrix Serving team as a Backend Engineer, where you'll be at the forefront of building a robust platform for serving machine learning models. This role offers an exciting opportunity to shape how millions of users experience Spotify through ML-powered features. You'll be working on developing infrastructure that powers Spotify's recommendation systems, collaborating with ML Engineers and researchers to deliver scalable inference services.
The position combines technical backend development with machine learning infrastructure, requiring both solid engineering skills and an understanding of ML systems. You'll be part of a dynamic team that values innovation and continuous learning, working on projects that often introduce new technologies and challenges beyond existing skillsets.
Based in Toronto with a flexible hybrid work arrangement, you'll enjoy the balance of collaborative in-person meetings and remote work flexibility. This is an excellent opportunity for a backend engineer interested in ML infrastructure to make a significant impact at one of the world's leading streaming platforms.
The role offers the chance to work with cutting-edge technologies while solving complex scalability challenges that affect millions of users globally. You'll be instrumental in simplifying the process of getting ML models into production, directly contributing to Spotify's mission of providing personalized music experiences to users worldwide.
Working at Spotify means joining a company at the intersection of technology, music, and culture, with a strong emphasis on innovation and user experience. The company's commitment to technical excellence and its global reach make this an exciting opportunity for engineers looking to make a meaningful impact in the music streaming industry.