Machine Learning Engineer - Personalization

Spotify's Personalization team is seeking a Machine Learning Engineer (MLE II) to join their innovative group focused on recommendation algorithms. This role is part of the team behind popular features like Blend and Discover Weekly, working to enhance the listening experience for millions of users. The position offers the opportunity to work with cutting-edge ML technologies, developing and implementing systems that connect creators with their audience through sophisticated recommendation algorithms.

The role combines hands-on machine learning development with practical engineering challenges, requiring expertise in both ML frameworks and data pipeline architecture. You'll be working in a collaborative environment, partnering with research scientists, data engineers, and product managers to build and deploy state-of-the-art ML models. The position requires strong technical skills in Python and ML frameworks, along with experience in building scalable systems.

Spotify offers a flexible work environment within the EMEA region, with collaboration centered in the Central European time zone. The company strongly values diversity and inclusion, welcoming candidates from all backgrounds to contribute to their mission of transforming how the world listens to music and podcasts. As part of the world's leading audio streaming service, you'll have the opportunity to impact millions of users' daily listening experiences while working with a passionate team dedicated to innovation in music and podcast recommendations.