Senior Machine Learning Engineer, Personalization, Magenta

Spotify
New York, US
On-site

Who this role is best for

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed conversational AI capabilities
  • Improved user discovery and engagement with audio content
  • Built intelligent, responsive systems for user interaction
Typical background
Experience in machine learning and AIKnowledge of recommendation systems and personalization

Skills & requirements

Required

Machine LearningPersonalization AlgorithmsNatural Language ProcessingConversational AIRecommendation SystemsData AnalysisModel TrainingEvaluation Metrics

Preferred

Audio ProcessingMusic Recommendation

Stack & domain

Machine LearningPersonalizationLeadershipCommunicationMusicPodcasts

About the role

Original posting from Spotify via Lever

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.

 The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.

Source: Spotify careers (Lever)

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