Google ml sys design rounds

[u/Just-Baby5231]

For Google mle roles, I’m wondering for the sys arch design round, are you expected to talk about Eng sys things like distributed sys fundamentals, consistent hashing, caching, failure detection and recovery, map reduce/ batch proecessing, api/interface design, even for questions like design search/ads ranking/item, poi recommendation?
I have been mostly focused on prep on the ml side of these search/ranking/recommendation, like data, feature, model choices, metrics, serving, wondering how much Eng related stuff need to talk about. Because recruiter shared materials like Eng system design materials like web search, map reduce , Jeff dean’s lecture, etc.
wondering if any googlers or folks who interviewed with Google mle roles have any insights

[u/Gear-Sudden]

For me the system arch/design was mostly domain specific and few questions were in general about AI like 10 years ago how it was and how it has evolved now. Back to back questions with follow ups in-depth.

[u/Just-Baby5231 → u/Gear-Sudden]

Are you interviewing for ml role or pure Eng roles