Microsoft·Machine Learning Engineer·Technical Phone Screen
Jun 2026
ML fundamentals screen for a Microsoft MLE role. Pretty conceptual, no coding, just a lot of back-and-forth about model selection and specific algorithms. Left feeling like I either nailed it or completely missed what they were looking for.
- How do you decide which type of model to use for a given problem? Walk through how you'd think about it.
- Can you explain how XGBoost works and describe where it performs well versus where you'd avoid it?
“This is the kind of question that sounds easy until you're actually on the spot.” The rest of the author's notes on Machine Learning Engineer interview at Microsoft, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
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