Hi everyone,
I have an upcoming system design interview for an SML (Specific Machine Learning) position at a FAANG company, and I’m looking for advice on how to prepare. I’m majorly interested in:
- Key topics and concepts I should focus on
- Common questions or problems they might ask
- Resources or study materials that could help
- Any tips for structuring my answers and presenting my design
If anyone has been through a similar interview or has experience in system design for ML systems, I’ll appreciate hearing your insights,
Thanks in advance.
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For an SML (System Design) interview, focus on scalability, reliability, and simplicity. Understand trade-offs in design choices, use appropriate data structures and algorithms, and communicate clearly about system components, interactions, and potential optimizations.
You should definitely take a look at the free Google SRE books. They offer valuable insights and are worth your time. I found it really helpful to understand how to quantify a system’s reliability, the adverse effects it can have on the user experience, designing fail safes, using the “golden” signals to identify issues, and effectively using alerting to isolate real problems.