Senior Machine Learning Engineer, Personalization

Job summary

Responsibilities

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.

• 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.

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.

Tech stack

• Python