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Senior Machine Learning Engineer, Personalization

Spotify

Remote

Also open in USA

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About the role

Spotify is seeking a Senior Machine Learning Engineer to join its Personalization team, which is dedicated to enhancing user experiences through tailored recommendations. The role involves working on innovative projects within the fast-paced Growlithe squad, focusing on personalized search and content discovery, including music videos and audiobooks. The engineer will leverage machine learning techniques to address complex challenges and create intuitive discovery experiences for users. Candidates should possess strong skills in machine learning and product development, with a background that enables them to effectively contribute to the team’s objectives. While specific qualifications are not detailed, relevant experience in the field is expected. The position is fully remote, allowing for flexibility in work arrangements. This role is ideal for individuals who are passionate about music and technology and want to make a significant impact on how millions of listeners engage with content on Spotify.

The advert

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. Growlithe is a fast-moving squad within Spotify's Conversation Product Area, focused on bringing emerging Search and agentic experiences to life. We explore, define, build, validate, and optimize new ideas to help listeners discover the content they love. Our work spans personalized Search, music video discovery and ranking, audiobook Search expansion, and the foundations of more social Search experiences. We're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify. You'll work at the intersection of machine learning, personalization, and product development, turning complex challenges into intuitive discovery experiences for millions of listeners.

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