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ML System Design

The 45 minute whiteboard round. Framing, data, serving, feedback loops, tradeoffs.

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🟡A Framework for Any ML Design Roundmust-know5 min🟡Framing a Business Problem as MLmust-know5 min🟡Online vs Offline Evaluationmust-know5 min🟡Batch vs Real-Time Inferencemust-know5 min🟡Training–Serving Skewmust-know5 min🟡Communicating Tradeoffs Out Loudmust-know5 min🟢Why You Propose a Baseline First5 min🟡Clarifying Requirements & Constraints5 min🟡Latency vs Throughput vs Cost5 min🟡Caching Strategies for ML Systems5 min🟡Guardrails, Fallbacks & Degradation5 min🟡Back-of-Envelope Capacity Estimation5 min🟡Human-in-the-Loop Design5 min🟡Build vs Buy vs API5 min🔴Design: Recommendation Feed8 min🔴Design: Search Ranking8 min🔴Design: Fraud Detection8 min🔴Design: Ad Click Prediction8 min🔴Design: Enterprise RAG Chatbot8 min🔴Design: Social Feed Ranking7 min🔴Design: Content Moderation7 min🔴Design: Delivery ETA Prediction7 min🔴Design: Spam & Abuse Detection7 min🔴Design: Query Autocomplete6 min🔴Design: Dynamic Pricing6 min🔴Design: Customer Support Copilot6 min🔴Design: Document Data Extraction6 min🔴Scaling Inference to Millions of Users5 min