Senior Machine Learning Engineer, Personalization
Spotify· Engineering – Personalization
Hybrid (Eastern Time (ET))$184k - $262.9kPermanentPosted 4d ago
About the role
Senior ML Engineer to shape the next generation of Spotify Search within the Personalization squad, combining machine learning, ranking, and product development to deliver intuitive discovery experiences at scale.
Responsibilities
- Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.
- Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.
- Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.
- Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.
- Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.
- Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.
- Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.
- Share knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.
Qualifications
- Experience building, deploying, and improving machine learning systems in production environments.
- Strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.
- Proficiency in Python and experience with modern ML frameworks and data processing tools.
- Experience and a desire to lean into backend engineering at Spotify scale.
- Understanding of experimental design, model evaluation, and translating technical findings into product improvements.
- Experience with large-scale datasets and building reliable, scalable ML systems.
- Curiosity about emerging AI technologies, including large language models and agentic systems, and their potential to improve discovery experiences.
- Ability to communicate technical ideas clearly, collaborate across disciplines, and learn from diverse perspectives.
- Comfort navigating ambiguity, owning complex challenges, and balancing experimentation with delivery.
Skills
Required:PythonMachine learningInformation retrieval / search ranking / recommendationBackend engineering
Benefits
- health insurance
- six-month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- paid flexible holidays
- paid sick leave
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Spotify
Music for everyone
Spotify is a digital music service that gives you access to millions of songs.
music streamingdigital music service
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