Staff Machine Learning Engineer - Policy & Safety
About The Position
The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform. Our work sits on the critical path of every new content type and product experience—from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start—not added later.
Requirements
- Experience building and shipping production-grade machine learning systems at scale
- Strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
- Worked with multimodal machine learning systems across text, audio, image, or video domains
- Experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
- Comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
- Experience working across teams and influencing technical direction in large-scale systems
- Comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
- Communicate clearly and collaborate effectively with both technical and non-technical stakeholders
Responsibilities
- Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
- 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
- Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
- 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
- Mentor and support other machine learning engineers, helping raise the bar across the team
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
