Role guide · Free PDF
ML Engineer
ML fundamentals, model training and evaluation, feature pipelines and the ML system design round.
System Design for ML Systems
Recommendations, ranking and search, fraud detection and online metrics, from the data to serving.
Free PDF · sent by email the day it’s ready
Who it’s for
For ML and data engineers facing the classic ML system design round, where the model is one part of a larger system.
The questions cover data, features, training, serving and measuring the result.
What it covers
- Recommendations
- Ranking and search
- Fraud detection
- Online metrics
What the guide will include
A framework for the round
Requirements, architecture, tradeoffs, evaluation and failure modes, in the order you say them.
Worked designs
Prompts worked end to end the way you would answer them at the whiteboard, with the diagram.
Tradeoffs to name
The choices interviewers push on, and what each option costs in latency, money and risk.
Failure modes and evals
How the system breaks in production, how you would notice, and what you would measure.
A PDF you can print
Read it on your phone before the call, or print the sections you want to drill.
Planned contents
The guide isn’t out yet, so chapters and their order may still change.
- 1. How the design round runs
- 2. Recommendations
- 3. Ranking and search
- 4. Fraud detection
- 5. Online metrics
- 6. Practice prompts
Free PDF
Get the ML Systems PDF free
Recommendations, ranking, search and fraud detection, from data to serving.
Questions about the guide
Is the PDF really free?
Yes. Leave your email and we send the PDF the day it is ready. No payment details, and every email has a one-click unsubscribe link.
Is it based on a specific company’s interviews?
No. It is written from the concepts the role or system depends on. We don’t name companies or claim to know what any one company asks.
When will it be ready?
It isn’t out yet. Leave your email and we send it the day it is; nothing else arrives before then.
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