Bytebytego Machine Learning System Design - Interview [better]

Here’s a structured inspired by the ByteByteGo style (visual, concise, and depth-oriented). This guide assumes you’re targeting FAANG-level or similar roles. 🧠 ByteByteGo-Style ML System Design Interview Guide 1. Core Framework (The 5-Step Loop) | Step | Focus | Time (45 min) | |------|-------|----------------| | 1. Scope & Requirements | Functional, non-functional, ML-specific constraints | 5 min | | 2. Data & Feature Engineering | Sources, labels, splits, features, validation | 10 min | | 3. Model Selection | Offline metrics, architecture choice, complexity | 10 min | | 4. Training & Evaluation | Pipeline, reproducibility, validation strategy | 10 min | | 5. Serving & Infrastructure | Latency, throughput, monitoring, updates | 10 min | 2. Key Question Types & Templates ✅ Type 1: Ranking / Recommendation Example: Design YouTube watch next.