Machine Learning Engineer II

Spotify is seeking a Machine Learning Engineer II to join their Activation, Retention, Conversion studio within the Machine Learning product area. This role focuses on building robust and scalable machine learning solutions to personalize activation, retention, and conversion funnels, improving key business metrics like SUBS and MAU. The position is part of the White Mouse squad, which optimizes plan upsell targeting across Spotify.

As a Machine Learning Engineer II, you'll contribute to designing, building, and refining Spotify's product through hands-on ML development. You'll collaborate with a multi-functional agile team to create new product features that connect artists and fans in personalized ways. Your responsibilities include prototyping new approaches, productionizing solutions at scale, and driving optimization and testing to improve quality.

The ideal candidate has a strong background in machine learning theory and practice, with hands-on experience in implementing production ML systems using Python, Scala, or similar languages. Experience with TensorFlow is a plus. You should be comfortable with building data pipelines and be self-sufficient in obtaining the necessary data for model building and evaluation. Familiarity with cloud platforms like GCP or AWS is preferred.

This role offers the opportunity to work on cutting-edge machine learning projects that directly impact Spotify's hundreds of millions of active users. You'll be part of an active community of ML practitioners, contributing to Spotify's mission of personalizing the audio experience for listeners throughout their user journey.

Join Spotify in either their London or Stockholm office and be part of a team that's shaping the future of personalized audio content and driving business growth through innovative machine learning solutions.