Senior Machine Learning Engineer, PersonalizationActive$184K–$263K

Spotify
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The opportunity

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.

What you'll do

  • 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.

What they're looking for

  • You have experience building, deploying, and improving machine learning systems in production environments.
  • You have a strong understanding of machine learning approaches for: information retrieval, search ranking, recommendation systems, or personalization.
  • You are proficient in Python and comfortable working with modern machine: learning frameworks and data processing tools.
  • You have experience and a desire to lean into backend engineering at Spotify scale.
  • You understand how to design and evaluate experiments, interpret model: performance, and translate technical findings into product improvements.
  • You have experience working with large-scale datasets and understand the: challenges of building reliable, scalable machine learning systems.
  • You are curious about emerging AI technologies, including large language: models and agentic systems, and interested in their potential to improve discovery experiences.
  • You enjoy working across disciplines, communicating technical ideas clearly,: and learning from different perspectives.