Senior Machine Learning Engineer, Personalization, Music Understanding

Spotify
New York
Workplace: RemoteFull timeUSD 184,050 - 262,928 annuallyFunction: Data Science & Machine LearningSkills: ["Collaboration","Communication","Problem-solving","Teamwork","Leadership"]

Design, build, and deploy end-to-end ML systems for Spotify's personalization features, focusing on LLM-based solutions and music understanding. You will develop production-ready models, collaborate across research, design, data science, and engineering, and contribute to scalable ML infrastructure and best practices used by hundreds of millions of users.

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FursaFursa
Spotify
Spotify
3 months ago

Senior Machine Learning Engineer, Personalization, Music Understanding

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and deploy end-to-end ML systems for Spotify's personalization features, focusing on LLM-based solutions and music understanding. You will develop production-ready models, collaborate across research, design, data science, and engineering, and contribute to scalable ML infrastructure and best practices used by hundreds of millions of users.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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.

Pay and Benefits

Salary: USD 184,050 - 262,928 annually
Equity and Bonus:Equity
Perks:Health Insurance401kMeal AllowancePaid LeaveParential Leave

Key Requirements

  • •Experience in machine learning, natural language processing, and generative AI in production environments.
  • •Hands-on experience building and deploying end-to-end ML systems at scale.
  • •Familiarity with LLM-based systems and techniques for improving them using human feedback (e.g., reinforcement learning from human feedback, DPO) or similar approaches.
  • •Experience designing modular ML architectures and writing technical specifications in partnership with product teams.
  • •Experience with large-scale distributed data processing tools such as Apache Beam or Apache Spark and cloud platforms like GCP or AWS.
Experience:Machine learningNLPGenerative AI
Skills:CollaborationCommunicationProblem-solvingTeamworkLeadership
Languages:English
Tech Stack:LLMNLPGenerative AIApache BeamApache SparkGCPAWS

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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