Design a feed ranking system
UberMachine Learning Engineer · Technical Screen
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This question evaluates a candidate's competency in designing end-to-end machine-learning-based feed ranking systems, including setting ranking objectives, candidate generation and filtering, feature design, model training and serving, and operational concerns like freshness, diversity, and scalability.
Design a machine-learning-based feed ranking system for a consumer product. The system should rank candidate posts or items for a user's home feed in real time.
Discuss:
- Product goals and ranking objectives
- Online and offline metrics
- Candidate generation, filtering, ranking, and re-ranking stages
- Features and data sources
- Model training and serving architecture
- Handling freshness, diversity, spam, and cold start
- Experimentation, monitoring, and failure modes
- Latency, scalability, and reliability constraints
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