Machine Learning Engineer - Content Understanding

Spotify is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on building and deploying ML solutions at scale. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position sits within the Experience team, which is dedicated to delivering the best Spotify experience to millions of users worldwide. You'll be part of a diverse team averaging 11 years of music industry experience, including product managers, ML engineers, data engineers, and backend engineers.

As an ML Engineer, you'll work on production systems that directly impact user experience, prototype new approaches, and scale solutions for hundreds of millions of active users. The role requires expertise in applied machine learning, strong programming skills (especially Python), and experience with cloud platforms and data pipelines.

You'll collaborate with cross-functional teams spanning design, data science, product management, and engineering to build innovative features. The position offers the opportunity to work on real-world problems using state-of-the-art AI technology, directly influencing how users interact with Spotify's vast music catalog.

The role is based in London with a hybrid work arrangement, offering the flexibility to balance office and remote work while being part of a global team pushing the boundaries of music technology and user experience.