Senior Machine Learning Engineer, Home Podcast

Spotify, the world's leading audio streaming platform, is seeking a Senior Machine Learning Engineer to join their Home Podcasts team within the Personalization Mission. This role focuses on revolutionizing podcast recommendations on Spotify's Homepage through advanced ML models and recommender systems. The position offers an opportunity to impact millions of users' listening experiences by developing sophisticated recommendation algorithms using technologies like contextual bandits, causal inference, and deep learning.

The role combines technical leadership with hands-on machine learning development, requiring expertise in building and deploying ML models that serve podcast recommendations across various surfaces. You'll work with cutting-edge technologies and platforms specific to Spotify's ecosystem, including spotify-kubeflow and salem, while collaborating with cross-functional teams in an agile environment.

This is an excellent opportunity for experienced ML engineers passionate about personalization and recommendation systems. 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 supports remote work within North America (Eastern time zone), providing flexibility while maintaining collaborative opportunities.

Spotify's commitment to diversity and inclusion makes it an ideal workplace for professionals from all backgrounds. The company's mission of unlocking human creativity by connecting artists with billions of fans provides a meaningful context for your work. If you're excited about using ML to enhance how millions of users discover and enjoy podcasts while working with a world-class team, this role offers the perfect blend of technical challenge and real-world impact.