Staff Machine Learning Engineer, Home Surfaces

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

Build and improve machine learning systems that power Spotify’s Home feed and Home Shortcuts experiences. Own recommendation and personalization models for emerging agentic, LLM-powered user journeys, taking them from research through large-scale production inference. Drive experiment design and A/B testing, optimize for latency, reliability, and cost, and enhance the ML platform, data pipelines, and production workflows. Mentor engineers and shape personalization architecture across ambiguity.

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FursaFursa
Spotify
Spotify
16 hours ago

Staff Machine Learning Engineer, Home Surfaces

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and improve machine learning systems that power Spotify’s Home feed and Home Shortcuts experiences. Own recommendation and personalization models for emerging agentic, LLM-powered user journeys, taking them from research through large-scale production inference. Drive experiment design and A/B testing, optimize for latency, reliability, and cost, and enhance the ML platform, data pipelines, and production workflows. Mentor engineers and shape personalization architecture across ambiguity.
Location: New York
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own and improve the machine learning models and systems powering Spotify’s Home feed and Home Shortcuts experience.
  • •Design, build, and ship personalized recommendation systems that serve millions of listeners.
  • •Train, fine-tune, evaluate, and optimize LLMs using supervised fine-tuning (SFT), distillation, and parameter-efficient approaches.
  • •Drive A/B testing, monitoring, model evaluation, and continuous optimization for recommendation quality, reliability, and cost.
  • •Improve ML platform capabilities and production data pipelines, and mentor other machine learning engineers.

Pay and Benefits

Salary: USD 227,495 - 324,993 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid Parental401kMeal 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 ML system development with PyTorch.
  • •Experience with large language model training, fine-tuning, evaluation, and optimization (SFT, distillation, LoRA).
  • •Experience with distributed ML workloads and large-scale inference, plus experiment design and A/B testing.
Experience:8+ years
Skills:CommunicationMentoringTechnical directionExperiment design
Tech Stack:PythonPyTorchRayFSDPHSDPFlyteAirflowBigQueryA/B tests

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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