Machine Learning Engineer - Content Understanding

Spotify, the leading global music and audio streaming platform, is seeking a Machine Learning Engineer to join their Content Understanding team. This role focuses on building and deploying ML solutions at scale for various use cases in media and catalog understanding. The position involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, and audiobook author attribution using graph ML approaches.

The role 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, working alongside product managers, data scientists, and engineers. The team is responsible for expanding the state of the art in AI-based machine technology, enabling intelligent ways to search, explore, and process metadata.

As a Machine Learning Engineer, you'll build production systems that directly impact user experience, prototype new approaches, and scale solutions for hundreds of millions of active users. The position requires strong technical skills in Python and cloud platforms, with experience in implementing ML systems at scale. You'll work in a collaborative, agile environment, using data-driven development practices to create innovative solutions.

The position offers competitive compensation ranging from $112,664 to $195,540 plus equity, along with comprehensive benefits including health insurance, six months of paid parental leave, and a 401(k) plan. Based in New York City, the role offers hybrid working arrangements, combining the flexibility of remote work with in-person collaboration opportunities.

This is an excellent opportunity for a skilled ML engineer who wants to make a significant impact on how millions of people experience music and audio content while working with cutting-edge technology at scale.