Design a Video Content Moderation Pipeline
Last updated: March 3, 2025
Quick Overview
Automated ML-based policy compliance screening at millions-of-videos-per-day scale with human review escalation and regional legal compliance.
ByteDance
System Design
Software Engineer
ByteDance
March 3, 2025Software Engineer
System Design Round
System Design
Hard
14
9
2,541 solved
Automated ML-based policy compliance screening at millions-of-videos-per-day scale with human review escalation and regional legal compliance.
Content moderation is critical for TikTok's regulatory compliance globally. Tests ML system design combined with operational workflow design.
What the Interviewer Expects
- Design async processing queue for moderation at scale
- Implement multi-model ML inference pipeline
- Build human review escalation workflow
- Handle regional legal compliance (GDPR, COPPA)
- Address false positive management and creator appeals
Key Topics to Cover
Content moderation
ML inference pipeline
Human-in-the-loop
Regulatory compliance
False positive management
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How do you handle new types of harmful content?
- What is the latency from upload to moderation decision?
- How do you train models on sensitive content safely?
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Practice System Design ProblemsSample Answer
Requirements
- Functional Requirements:
- Automated Moderation: The system should automatically analyze videos for policy compliance using multiple ML models.
- Human Review Escalation: Impleme...
Capacity Estimation
- Daily Video Volume: Assume TikTok sees around 60 million videos uploaded daily.
- Moderation Load: If we estimate that 30% of these videos require moderation, that’s around 18 million vide...
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