Machine Learning Engineer, Personalization

Join Spotify's Safe-and-Sound team as a Machine Learning Engineer focused on Personalization. You'll be part of a crucial initiative making Spotify safe and enjoyable for every listener, working on beloved features from podcast recommendations to AI Playlists. The role involves building Responsible AI solutions through deep understanding of music, podcasts, and user behavior.

You'll work in a dynamic environment, collaborating with cross-functional teams including user research, design, data science, product management, and engineering. Your mission will be to create and implement personalized machine learning solutions that connect artists and fans in meaningful ways. The position offers the opportunity to impact hundreds of millions of active users through large-scale ML systems.

The role combines technical expertise in machine learning, particularly in recommender systems, with practical implementation skills using languages like Java, Scala, or Python. You'll be part of an active community of ML practitioners, contributing to Spotify's culture of innovation while ensuring responsible AI development.

Working at Spotify means joining a distributed workforce with flexible location options within the Americas region. The company offers comprehensive benefits including health insurance, parental leave, retirement plans, and generous time off. You'll be part of a team that values both technical excellence and user experience, working in the Eastern Standard time zone for collaboration.

This is an opportunity to shape the future of music and podcast discovery while ensuring safe and personalized experiences for millions of users. Your work will directly impact how people discover and enjoy content on one of the world's leading streaming platforms.