Landing a machine learning internship at Microsoft is a competitive feat, and the interview process definitely reflects that.
The in-depth machine learning portion pushed me to my limits. The interviewer fired off detailed questions that delved into specific algorithms and concepts.
There were definitely moments where I felt like I was out of my depth, especially with some of the more nuanced aspects they explored.
It can be pretty discouraging to experience that level of challenge in an interview. Here I was, feeling like I had a solid grasp of machine learning, yet struggling to articulate everything perfectly. It highlighted areas where my knowledge needed to be more precise.
What if your model accuracy is 99%?
The following metrics were computed from 2 interview experiences for the Microsoft SWE Intern role in Egypt.
Microsoft's interview process for their SWE Intern roles in Egypt is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for Microsoft's SWE Intern interview process in Egypt.