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Staff Machine Learning Engineer – Content Intelligence
SpotifyStaff 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 & technologiesPyTorchTensorflow
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningclassificationtaggingsemantic understandingcontent enrichmentautomationdata pipelinesevaluation frameworkslarge datasetsmultimodal machine learning
Soft Skills
collaborationcommunicationproblem-solvingsystem thinkingadaptability