Designing Machine Learning Systems
Chip Huyen
Published 2025
Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated.
Score based on developer article recommendations — not sales data or reviews.
🟢 Developer Verdict
An advanced, practical guide to designing robust machine learning systems, shifting focus from models to product longevity and architecture.
Read this if
- ✓ You want to approach ML system design from a product perspective.
- ✓ You need practical, advanced insights into building durable ML systems.
- ✓ You aim to deepen your understanding of end-to-end ML system architecture.
Skip this for now if
- ✗ You are new to machine learning and need introductory concepts.
- ✗ You prefer hands-on coding tutorials over high-level system design.
- ✗ You are only interested in specific ML model development techniques.
🔄 Compare & Reading Path
Alternatives
💬 What Developers Say
"Yes, two Chip Huyen books on the list - she's earned it."
— somadevtoo · I Read 20+ Books on AI and LLM Engineering: Here Are My Top 10 Recommendations · Feb 18, 2026
"It's the book that transforms how you think about ML as a product problem, not just a modeling problem."
— somadevtoo · I Read 20+ Books on AI and LLM Engineering: Here Are My Top 10 Recommendations · Feb 18, 2026
"This is another great book from Chip Huyen, one of my favorite authors when it comes to AI and LLM engineering"
— somadevtoo · 10 Must-Read AI and LLM Engineering Books for Developers in 2026 · May 25, 2025
Based on 11 developer article mentions
👤 Who Should Read This
Best for
- • Senior engineers deepening their expertise
- • Engineers involved in system design and architecture
- • Developers looking to grow their careers
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Chip Huyen
Mentioned in 16 articles · #59 overall
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Score Trend
Last 90 Days
Articles
15
vs prev 90d
+15
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Unique authors
4
Total mentions
16