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Spotify

Machine Learning Engineer - Personalization Team

Spotify
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hybrid senior full-time $184,050 - $262,928 New York

First indexed 18 Jun 2026

Description

The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. You will join a team working at the intersection of machine learning, music understanding, and user experience, focusing on generating music sessions powering experiences like conversational playlist generation.

Responsibilities

  • Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
  • Work on prompted playlist experiences with a focus on music fulfillment and session generation
  • Collaborate with cross-functional partners across user research, design, data science, product, and engineering
  • Prototype new ML approaches and bring them into production at global scale
  • Build and improve systems that connect artists and fans in personalized and meaningful ways
  • Contribute to the development of scalable ML systems serving hundreds of millions of users
  • Promote best practices in ML system design, testing, evaluation, and deployment across the organization
  • Actively contribute to a strong community of machine learning practitioners at Spotify

Requirements

  • Experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
  • Strong background in machine learning, natural language processing, and generative AI
  • Comfortable applying theory to build real-world, production-ready applications
  • Hands-on experience building and deploying end-to-end ML systems at scale
  • Familiar with LLM-based systems and techniques for improving them using human feedback
  • Experience designing modular ML architectures and writing technical specifications in partnership with product teams
  • Experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
  • Have worked with cloud platforms like GCP or AWS

Location and Benefits

  • Based in New York with flexibility to work from home
  • The United States base range for this position is $184,050 - $262,928 plus equity
  • Benefits include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.lever.co/spotify/d7c43743-2240-45b6-bc31-33e50cbaba4a