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Senior Staff Machine Learning Engineer – Content Policy & Safety
SpotifySenior Staff Machine Learning Engineer building and scaling ML systems for content safety at Spotify. Collaborating across teams to ensure policy compliance and high-quality content delivery.
Tech Stack
Tools & technologiesPyTorchTensorflow
About the role
Key responsibilities & impact- Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
- Build and scale ML systems for detection, classification, and risk assessment across content
- Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
- Design systems that support real-time and large-scale content evaluation
- Collaborate with product, policy, and trust & safety teams to operationalize content standards
- Improve automation to reduce manual intervention, maintaining high quality and safety standards
- Drive best practices in evaluation, fairness, and system reliability
- Mentor engineers and contribute to technical direction across teams
Requirements
What you’ll need- Strong experience building production-grade machine learning systems at scale
- Experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar
- Worked on systems where ML outputs influence real-world decisions
- Understand how to design systems that balance automation with safety and user experience
- Comfortable working on complex, ambiguous problems with high impact
- Think in systems and understand how models connect to platform-level outcomes
- Care about data quality, evaluation rigor, and system reliability
- Communicate clearly and influence across technical and non-technical teams
Benefits
Comp & perks- Flexible working hours
- Hybrid work model
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 learningautomated decisioning systemsreal-time content evaluationproduction-grade ML systemsML frameworksPyTorchTensorFlowdata qualityevaluation rigorsystem reliability
Soft Skills
collaborationmentoringcommunicationinfluenceproblem-solvingsystem thinkingbalancing automation with safetyuser experience focusadaptabilityattention to detail