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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. What You'll Do Collaborate with key internal stakeholders to determine how to design backend systems and APIs to meet their scalable needs Architect, develop, and operate Java services deployed to millions of users Leverage Spotify's many data sets to create awesome recommendations Be a technical leader and valued contributor in an autonomous, cross-functional agile team Collaborate with other engineers, product owners, and designers to identify and solve challenging problems, improving the recommendation quality of users worldwide Be a leader of the Spotify-wide backend developer community affecting and driving our architecture across the company Work on what you want during regular hack days and bi-annual hack weeks Who You Are You have experience working directly with stakeholders to understand, document and develop APIs and systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations You have experience writing distributed, high-volume services and know how to deploy, monitor, and keep them running in production, especially in the context of machine learning algorithms You have interest in big data and machine learning systems You love working in an environment where you constantly experiment and iterate quickly You believe data is the most powerful tool for informed decision-making You have a deep understanding of system design, data structures, and algorithms You care about quality and you know what it means to ship high quality code Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we havea work location. This team operates within the Eastern Standard time zone for collaboration. Learn about life at Spotify The United States base range for this position is $122,716- $175,308 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Senior Machine Learning Engineer, GenRecs, Personalization Machine Learning Engineering Manager, Personalization Machine Learning Engineer, GenRecs, Personalization #J-18808-Ljbffr