Staff Machine Learning Engineer, Personalization

Spotify
New York
Workplace: RemoteFull timeUSD 227,495 - 324,993 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Mentorship","Experimentation","Technical direction","Collaboration"]

Build and improve personalization machine learning models powering Spotify’s Home feed and Shortcuts experiences. Design and ship personalized recommendations at global scale, including content recommendation for emerging AI-powered user experiences. Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient approaches, while driving A/B testing and continuous optimization. Improve ML platform and production data pipelines, and mentor other ML engineers.

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FursaFursa
Spotify
Spotify
1 month ago

Staff Machine Learning Engineer, Personalization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and improve personalization machine learning models powering Spotify’s Home feed and Shortcuts experiences. Design and ship personalized recommendations at global scale, including content recommendation for emerging AI-powered user experiences. Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient approaches, while driving A/B testing and continuous optimization. Improve ML platform and production data pipelines, and mentor other ML engineers.
Location: New York
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own and improve machine learning models and systems powering the Home feed, including Shortcuts.
  • •Design, build, and ship personalized recommendations serving millions of Spotify listeners globally.
  • •Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient approaches.
  • •Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
  • •Mentor and support other machine learning engineers while improving ML platform capabilities, data pipelines, and production systems.

Pay and Benefits

Salary: USD 227,495 - 324,993 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid ParentalMeal AllowancePaid Leave

Key Requirements

  • •8+ years building and deploying machine learning systems in production environments.
  • •Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery.
  • •Strong proficiency in Python and hands-on machine learning development with PyTorch.
  • •Experience training, fine-tuning, evaluating, and optimizing large language models (e.g., SFT, distillation, LoRA).
  • •Hands-on with distributed ML workloads and production considerations like latency, reliability, and cost optimization.
Experience:8+ yearsMachine learningRecommendation systemsLarge language modelsA/B testingDistributed ML
Skills:CommunicationMentorshipExperimentationTechnical directionCollaboration
Tech Stack:PythonPyTorchSFTDistillationLoRARayFSDPHSDPFlyteAirflowBigQuery

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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