Spotify, the world's leading audio streaming platform, is seeking a Senior Machine Learning Engineer to join their Personalization (PZN) team. This role focuses on making music, podcast, and audiobook recommendations more enjoyable for hundreds of millions of listeners worldwide. The position combines technical leadership with hands-on ML development, working on products like Home, Search, and popular playlists such as Made For You, Discover Weekly, and Daily Mix.
The role requires expertise in machine learning, particularly in recommender systems, with a focus on designing and implementing large-scale ML solutions. You'll be working with cutting-edge technologies including TensorFlow/PyTorch and potentially Kubeflow and Ray, while leading technical projects and collaborating across teams.
As a technical leader, you'll mentor others while contributing to Spotify's ML community. The position offers competitive compensation ($176,166-$251,666 plus equity) and comprehensive benefits including health insurance, parental leave, and flexible time off. The role is remote-friendly within North America, operating in the Eastern time zone.
This is an excellent opportunity for experienced ML engineers who want to impact how millions of people discover and enjoy audio content while working with a diverse, inclusive team at a company that values innovation and creativity. Spotify's mission of connecting creators with audiences makes this role particularly meaningful for those passionate about both technology and digital media.