Spotify
This Senior Machine Learning Engineer role sits within Spotify’s Advertising Product & Technology organization, focused on either the Ad Engagement or Supply Personalization squad. The position centers on building advanced ML models to predict user reactions to ads and optimize ad delivery volume, timing, and type. The engineer will work on large-scale systems and cutting-edge techniques like multi-task learning and sequence transformers to improve ad relevance and user experience. The role is highly collaborative, working closely with cross-functional partners to drive business outcomes through data-driven ad experiences.
Headquarters
Stockholm, Stockholm, Sweden
Company Size
5001-10000 employees
Founded
2006
Spotify is a global audio streaming platform that gives users access to millions of songs, podcasts, and other audio content, offering both ad-supported and premium subscription tiers. The company builds machine learning-driven personalization, analytics, and ad-tech to power listening experiences for users and monetization tools for artists and creators worldwide. Spotify hires across engineering, product, design, data science, marketing, and business roles, and emphasizes a collaborative, inclusive culture grounded in its core values of One Team, Human Judgment, and Make It Happen.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Spotify.
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