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. The role offers an exciting opportunity to work with distributed systems and ML at scale, collaborating with talented engineers in a remote-friendly environment.

The position involves architecting end-to-end ML systems, working closely with Backend and Data engineers to meet latency requirements, and shaping the team's ML strategy. You'll be part of an autonomous, cross-functional agile team, coordinating technical projects across Spotify while maintaining high standards for optimization and quality.

We're looking for someone with proven technical leadership experience and deep expertise in machine learning, particularly in recommender systems. Your strong background in feature engineering, scalable data pipelines, and frameworks like TensorFlow will be essential. The role offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within North America.

This is an exceptional opportunity to impact millions of users' experience while working with cutting-edge ML technologies in a collaborative, innovation-driven environment. You'll help shape the future of content discovery and personalization at one of the world's leading streaming platforms.