ML System Design & Strategy
Design interviews, real questions, and communication frameworks
Overview
This section covers ML system design interviews and strategic communication. These documents help you structure answers, articulate trade-offs, and demonstrate senior-level thinking.
Document Structure
| Document | Focus |
|---|---|
| ML Domain Round | Practical ML assessment questions |
| Real Interview Questions | Detailed question walkthroughs |
| System Design Framework | 6-step ML system design methodology |
| Key Phrases | Communication frameworks |
| Experience Mapping | Your experience → interview topics |
ML System Design Framework (Quick Summary)
| Step | Time | Focus |
|---|---|---|
| 1. Clarify | 5 min | Requirements, constraints, metrics |
| 2. Architecture | 5-10 min | End-to-end system diagram |
| 3. Features | 5-10 min | Data sources, feature engineering |
| 4. Training | 3-5 min | Algorithm choice, infrastructure |
| 5. Serving | 5 min | Latency, throughput, deployment |
| 6. Monitoring | 5 min | Drift, alerts, retraining |
Interview Question Types
| Type | What to Expect |
|---|---|
| Design from scratch | "Design a recommendation system for YouTube" |
| Improve existing | "How would you improve Gmail spam detection?" |
| Debug production | "Users report recommendations are stale. Diagnose." |
| Trade-off analysis | "Compare batch vs real-time serving for this use case" |