Related skills
machine learning policy_enforcement📋 Description
- Build and scale ML systems for proactive content detection and safety scanning
- Design policy evaluation frameworks with datasets and metrics
- Develop multimodal models (text, audio, image, video) for safety
- Architect feedback loops turning reviewer input into training data
- Translate regulatory requirements into scalable ML designs and reporting
- Partner with Trust & Safety, Legal, Public Affairs, and Product to deliver safe experiences
🎯 Requirements
- Experience building and shipping production-grade ML systems at scale
- Proficient in ML evaluation, datasets, metrics, and monitoring
- Experience with multimodal ML across text, audio, image, or video
- Experience with human-in-the-loop, active learning, or feedback-driven model improvement
- Able to translate complex requirements into technical solutions, incl. policy constraints
- Experience leading technical direction across large, cross-team systems
🎁 Benefits
- Hybrid work with in-person meetings
- Flexible, collaborative teams
- Opportunity to work in London or Stockholm
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