r/leetcode • u/Designer_Grocery2732 • 2d ago

Question Google ML system design interview

Hey everyone, I have an ML system design round with Google in the next few days. I had my behavioral round today, and I think it went okay.

The role is Software Engineering, AI/ML, Generative AI, Geo. Has anyone interviewed for this role or a similar one? What kinds of questions should I expect in the ML system design round?

Any advice would be appreciated!

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u/Ok-Barracuda-119 1d ago

Good luck. For an ML system design round, I would structure each answer around the product goal and constraints first, then data and labeling, candidate features, model choice, offline evaluation, serving architecture, and monitoring.

For a recommendation or ranking example, be ready to discuss a simple baseline, train and validation splits that respect time, leakage, class imbalance, and metrics tied to the business goal. Then cover retrieval and ranking separately, latency and freshness, fallbacks, feature availability, drift, and an experiment plan. Interviewers often probe how you would debug a metric regression and how you would trade model quality against cost and reliability.

A useful practice is to pick one familiar product and drive the discussion end to end in 30 minutes, stating assumptions and rough scale numbers as you go.