Senior Machine Learning Engineer, Personalization

New

SpotifyMusic streaming

Listing location: New York, NY; Workplace type: Remote, This role is based in Eastern Standard TimeFull-TimeSenior

Salary not disclosed

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Job Details

Have experience building, deploying, and improving machine learning systems in production environments.
Have a strong understanding of machine learning for information retrieval, search ranking, recommendation systems, or personalization.
Be proficient in Python.
Be comfortable with modern machine learning frameworks and data processing tools.
Have experience and interest in backend engineering at Spotify scale.
Understand how to design and evaluate experiments and interpret model performance.
Have experience with large-scale datasets and the challenges of building reliable, scalable machine learning systems.
Be curious about emerging AI technologies, including large language models and agentic systems.
Be comfortable working across disciplines, communicating technical ideas, navigating ambiguity, and taking ownership of complex challenges.

Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging.
Develop and optimize ranking and backend retrieval systems for music, videos, audiobooks, and other content.
Explore AI and agentic approaches for conversational Search experiences.
Design, implement, and evaluate machine learning solutions from early experimentation through production.
Partner with engineers, product managers, designers, and researchers to identify opportunities and improve Search.
Use experimentation, data analysis, and performance metrics to evaluate model behavior and validate hypotheses.
Contribute to scalable machine learning infrastructure and engineering practices.
Share knowledge and help shape the squad's technical direction for machine learning.

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