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Spotify

Staff Machine Learning Engineer – Content Intelligence

Spotify

Staff Machine Learning Engineer at Spotify building and scaling foundational ML systems for content understanding. Collaborating across teams and working with complex, evolving requirements.

Posted 5/7/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $227,495 - $324,993 per yearWebsite

Tech Stack

Tools & technologies
PyTorchTensorflow

About the role

Key responsibilities & impact
  • 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
  • Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
  • Contribute to evaluation frameworks, data pipelines, and annotation systems
  • Support rapid experimentation to prototype and launch new types of content signals
  • Help improve system reliability, scalability, and performance across large datasets

Requirements

What you’ll need
  • Experience building and deploying machine learning systems in production
  • Comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
  • Experience working with large datasets and care about data quality and evaluation
  • Interested in or have worked with multimodal machine learning
  • Understand how to design systems that balance automation with quality and user experience
  • Comfortable working on complex problems with evolving requirements
  • Think in systems and understand how models connect to product outcomes
  • Communicate clearly and work well across technical and non-technical teams

Benefits

Comp & perks
  • Health insurance
  • six-month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • paid sick leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningclassificationtaggingsemantic understandingcontent enrichmentautomationdata pipelinesevaluation frameworkslarge datasetsmultimodal machine learning
Soft Skills
collaborationcommunicationproblem-solvingsystem thinkingadaptability