Degree in Computer Engineering
Data Analysis, Data cleaning / Data cleansing, Data Manipulation, Data Mining, Data Modeling, Data Visualization, Deep Learning, Natural Language Processing (NLP), Optimization
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 ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Location: Boston
Job type: Permanent
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. Personalization is a high impact team that is building the next generation technologies aimed at making every user interaction with Spotify outstanding through personalization and discovery!
Join our collaborative, interdisciplinary team as we work together to ensure the foundations of Spotify technologies are state-of-the-art and redefine the state-of-the-art by contributing to the wider research community through top-tier paper publications. Our team has strong ties internally to product groups as well as externally to the research community. We are especially looking for scientists interested in creating impact by developing and applying large foundational models that reshape the listening experience.
At Spotify, we give our people the freedom to work where they work best. Some of us work better in the office. Some of us are more productive at home. Some of us prefer to blend the two. We simply ask that our team members be physically located between Central European time and Eastern Standard/Daylight time zones for the purposes of our collaboration hours. We also have physical lab locations throughout these time zones.
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The United States base range for this position is $147,387 - 210,567, 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.
Spotify is a popular digital music streaming platform that was launched in 2008. It provides users with access to a vast library of music from various genres and artists around the world. Initially, Spotify started as a desktop application but has since expanded to include mobile and web-based versions as well. Key features of Spotify include: Music Catalog, Personalized Recommendations, Social Integration, Podcasts and Audio Content and Offline
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