The Personalization team seeks to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment!
Craft the team’s data strategy and build the systems that power smarter, more intuitive discovery on Spotify. Work alongside a dedicated mix of ML and Backend Engineers to tackle some of Spotify’s most exciting challenges in retrieval, ranking, and personalization. Design, build, and maintain scalable, reliable data pipelines that support advanced search capabilities.
This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. You'll work with large-scale data pipelines and develop new data pipelines to meet emerging needs. You will also collaborate with other engineers to develop monitoring tools.