Staff Machine Learning Engineer - Content Intelligence

Spotify
New York
Workplace: HybridFull timeUSD 227,495 - 324,993 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration"]

Staff ML Engineer to design and scale foundational ML systems for content understanding across audio, video, text, and images at Spotify. Build models for classification, tagging, and enrichment using multimodal data and LLMs; collaborate with product, policy, and engineering to deliver safe, high-quality content signals that impact user experiences.

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FursaFursa
Spotify
Spotify
3 months ago

Staff Machine Learning Engineer - Content Intelligence

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Staff ML Engineer to design and scale foundational ML systems for content understanding across audio, video, text, and images at Spotify. Build models for classification, tagging, and enrichment using multimodal data and LLMs; collaborate with product, policy, and engineering to deliver safe, high-quality content signals that impact user experiences.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and scale machine learning systems that generate deep understanding of content across modalities.
  • •Develop models for classification, tagging, semantic understanding, and content enrichment.
  • •Create high quality content enrichment at scale using LLMs and agentic systems.
  • •Design systems that make content intelligence signals available to downstream teams and products.
  • •Improve automation for content quality, safety, and metadata enrichment at scale.

Pay and Benefits

Salary: USD 227,495 - 324,993 annually
Equity and Bonus:Equity
Perks:Health Insurance401kMeal AllowanceParental LeavePaid LeaveEquity

Key Requirements

  • •Experience building and deploying machine learning systems in production.
  • •Experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • •Experience with large datasets and a focus on data quality and evaluation.
  • •Interest in or experience with multimodal machine learning.
  • •Ability to design systems that balance automation with quality and user experience.
Skills:CommunicationCollaboration
Tech Stack:PyTorchTensorFlowLLMsData pipelinesMultimodalMachine learning

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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