Updated by Microsoft candidates
Machine Learning Engineer Interview Experience
Interview process
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.
- Technical interview
Interview rounds
2 questions across 1 roundTechnical interview
2 questionsQuestion types asked
Interview tips
prepare for classical ml, dl, llms, aiops. be thorough and deep about your understanding of each thing.
Company culture
all the interviewers were great. Pretty transparent.
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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.”
“I was very unprepared for the system design part. Also the ML coding was difficult and I did not have enough time to complete.”
See all 5 Microsoft Machine Learning Engineer interview experiences →
