Updated by Microsoft candidates
Machine Learning Engineer Interview Experience
Interview process
I was very unprepared for the system design part. Also the ML coding was difficult and I did not have enough time to complete.
- Recruiter screen
- Phone interview
- Technical interview
Interview rounds
2 questions across 2 roundsPhone interview
1 questionSpecific questions asked
experience etc
Technical interview
1 questionSpecific questions asked
RAG system design (design a system for RAG on complex stock data that requires numerical precision)
Interview tips
Deep ML, generic ML problem but needs to be done extremely fast, prepare RAG agentic system design. Prepare talking about your own projects and skills.
Company culture
Really quick and efficient. The info provided by the recruiter was misleading... and that made me come unprepared.
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More Microsoft interview experiences
“What went well: The live coding and system architecture rounds went smoothly. I was able to articulate my design choices clearly, especially around API design, database strategy, and maintaining high availability for microservices. What didn’t go well: The initial behavioral portion felt slightly rushed because we spent extra time discussing specific cross-functional project dynamics from my previous roles. How does this interview compare to other interviews you've done? It was significantly more interactive. Rather than giving static answers, the interviewers actively challenged my assumptions and asked "what if" scenarios, making the evaluation feel comprehensive and realistic to day-to-day work.”
“It was a rigorous interview process but it was quick. everything was done in 3 weeks. Interviewers were great and they checked for depth in each and every interview.”
See all 5 Microsoft Machine Learning Engineer interview experiences →
