Senior Machine Learning Engineer - Personalization

Spotify
New York, US

Who this role is best for

Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

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

What success looks like

  • improved user experience
  • increased user engagement
Typical background
machine learningpersonalization systems

Skills & requirements

Required

Machine LearningPersonalizationRecommendation SystemsMusic Recommendation

Preferred

AI DJAI Playlists

About the role

Original posting from Spotify via Lever

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.

The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify.

Source: Spotify careers (Lever)

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