The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Backend Engineer to join the Rewards team in the Personalized Strategic Programming (PSP) PA - an area of hardworking engineers that are passionate about understanding what drives users’ mid and longer-term satisfaction with Spotify, and who make impactful changes to recommendation systems to achieve this goal. To date, we have productized our algorithms with Home Ranking, Search, Home Podcasts, and Home Music, and look forward to continuing to work with these teams in the next cycle, as well as develop new algorithms and signals (“rewards”) for our goals. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping, scaling, and productizing state-of-the-art ML at the intersection of recommendations and longer term user satisfaction.
