The book Machine Learning System Design Interview by Ali Aminian and Alex Xu has become a staple for engineers preparing for high-stakes ML roles at top tech companies. Published in early 2023, this 294-page guide provides a structured, insider perspective on how to design large-scale machine learning systems from scratch. Core Content & Framework
Week 1: Master the Framework
Do not read case studies yet. First, memorize the 4-step framework and its subcomponents.
- Step 1: Problem Scoping & Requirements – Clarify non-functional requirements (latency, throughput) and ML objectives (offline metrics vs. online metrics).
- Step 2: Data Engineering – Data ingestion, storage, feature extraction, and labeling strategies.
- Step 3: Model Development – Model selection, training, evaluation, and experimentation.
- Step 4: Deployment & MLOps – Serving, monitoring, scaling, and continuous learning.
The book translates complex theory into practical architectures through 10 real-world scenarios: