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Senior Machine Learning Engineer, Personalization, Muse

spotify · New York, NY
Full-timePersonalizationGeneral$145,000–$195,000/yr
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About the Senior Machine Learning Engineer Personalization Muse role

Senior Machine Learning Engineer Personalization Muse positions focus on delivering results in their domain. This page aggregates open Senior Machine Learning Engineer Personalization Muse roles and what employers typically expect.

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. You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.

Salary estimate

$145,000 – $195,000/yr
Provided by the employer.

Skills for this role

Machine LearningData Science

Resume tips for Senior Machine Learning Engineer Personalization Muse applicants

Interview preparation

Prepare concrete STAR-format stories that show Senior Machine Learning Engineer Personalization Muse outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Senior Machine Learning Engineer Personalization Muse problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About spotify

Spotify is actively hiring on Jobedly. Explore their open roles and what it's like to work there.

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