Career Opportunities

Data & Machine Learning

Data / Backend Engineering Manager, Personalization & Music Recommendation

New York, NY, United States

We are looking for a Data / Backend Engineering Manager (Chapter Lead) to join the User Engagement mission in New York. Our organization strives to make every user session amazing through personalization and discovery. In this role, you’ll work primarily with our squads based in New York who are focused on recommendations and personalized features (e.g. Discover Weekly, Release Radar and Home), notifications and programming analytics. Read more

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Data Engineer

New York, NY, United States

Spotify is looking for a Data Engineer to join our team. You will take on complex data-related problems using some of the most diverse datasets available -- user behaviors, acoustical analysis, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Read more

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Data Engineering Manager

New York, NY, United States

We are looking for a Data Engineering Manager (Chapter Lead) to drive the data engineering practice within the Revenue mission. In this role, you will be instrumental in growing the team, guiding the data engineering approaches to successfully grow our ads business. Read more

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Machine Learning Engineering Manager

New York, NY, United States

We are looking for a Machine Learning Engineering Manager (Chapter Lead) to drive the machine learning and data engineering practice within the Revenue mission. In this role, you will be instrumental in growing the team, guiding the scientific and engineering approaches, and communicating strategy and results to the broader organization. Read more

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Machine Learning Engineer

New York, NY, United States

Spotify is looking for a Machine Learning Engineer to join our team. You will work on a variety of problems such as content recommendation, personalization, optimization, user intelligence, and content classification. You will work with a team to come up with new and interesting hypotheses, test them, and scale them up to huge data sets with hundreds of billions of data points. Above all, your work will impact the way the world experiences music. Read more

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