Senior Machine Learning Engineer - Artist-First AI Music Lab

Spotify
New York, Boston
Workplace: RemoteFull timeUSD 184,049 - 262,928 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Experimentation","Iteration","Data-informed decision-making"]

Design, build, and continuously improve ML training and inference pipelines for Spotify’s Artist-First AI Music lab. Apply prompt engineering and ML expertise across large language model experiences, creating evaluation frameworks (including LLM-as-judge) and fast feedback loops. Partner with music domain experts to bootstrap training and data, then ship scalable, production-ready systems with strong performance, reliability, and latency at scale.

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FursaFursa
Spotify
Spotify
1 week ago

Senior Machine Learning Engineer - Artist-First AI Music Lab

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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 continuously improve ML training and inference pipelines for Spotify’s Artist-First AI Music lab. Apply prompt engineering and ML expertise across large language model experiences, creating evaluation frameworks (including LLM-as-judge) and fast feedback loops. Partner with music domain experts to bootstrap training and data, then ship scalable, production-ready systems with strong performance, reliability, and latency at scale.
Location: New York, Boston
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, evaluate, and improve ML training and inference pipelines for AI-driven music experiences.
  • •Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and enable fast feedback loops.
  • •Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design.
  • •Build scalable production ML systems that balance experimentation speed with reliability, performance, and latency at Spotify scale.
  • •Contribute to technical direction and engineering best practices across deployment, observability, experimentation, and production infrastructure.

Pay and Benefits

Salary: USD 184,049 - 262,928 annually
Equity and Bonus:Equity
Perks:Health InsuranceParental Leave401kMeal AllowancePaid Leave

Key Requirements

  • •Experienced applying machine learning in production environments.
  • •Hands-on experience with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production.
  • •Experience building and maintaining production ML systems using Python, Java, Scala, or similar languages.
  • •Experience building large-scale data pipelines for sourcing, preparing, and evaluating training data.
  • •Experience with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments.
Skills:CommunicationCollaborationExperimentationIterationData-informed decision-making
Tech Stack:PythonJavaScalaGCPAWSAzureLarge language modelsPrompt engineeringLLM-as-judge

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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