Senior Machine Learning Engineer, Personalization

Join Spotify's Now Playing View team as a Senior Machine Learning Engineer to revolutionize user engagement with currently playing content. As a founding ML engineer, you'll be instrumental in developing and deploying models that power personalized recommendations across Music, Podcasts, and Audiobooks. This role combines technical leadership with hands-on ML engineering, working within Spotify's sophisticated infrastructure to deliver real-time recommendations at scale.

The position offers an opportunity to shape the future of content discovery at one of the world's leading streaming platforms. You'll work with cutting-edge ML technologies and frameworks like Tensorflow, Keras, and spotify-kubeflow, while collaborating with cross-functional teams to solve complex challenges in content recommendation and personalization.

The role comes with competitive compensation ($176,166 - $251,666), comprehensive benefits including health insurance and six months of parental leave, and the flexibility to work remotely within North America. You'll be part of a team operating in the Eastern Standard time zone, contributing to Spotify's mission of delivering personalized media experiences to millions of users worldwide.

As a senior ML engineer, you'll have the chance to mentor others, drive technical decisions, and help build the foundation of a new and exciting product surface. The ideal candidate combines strong ML expertise with production engineering experience, capable of building end-to-end ML systems that meet strict latency requirements while delivering value to users.