Spotify
Staff Machine Learning Engineer - Policy & Safety
New York, NY · Staff+
Sponsorship not specified$227k-$325kDetected 77 days ago
Machine Learning
About the role
- Our work sits on the critical path of every new content type and product experience-from messaging and comments to collaborative and agentic features.
Responsibilities
- Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
- Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
- Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
- Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
- Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
Compensation
- The United States base range for this position is $227,495-$324,993 USD, plus equity.
Benefits
- Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
- Mentor and support other machine learning engineers, helping raise the bar across the team
- The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.
Company info
- We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration.
Apply directly at Spotify →Create a free account for alerts like thisView Spotify immigration profile
This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.