The first OA assessment involved 3 simple coding questions, which I found easy to solve using Python.
The second interview was with one of the ML managers. It started well, but the questions were asked in depth, and I wasn't able to answer them. However, the questions themselves were amazing.
What is overfitting, and what are the ways to overcome it?
The following metrics were computed from 1 interview experience for the Palo Alto Networks ML intern role in United States.
Palo Alto Networks's interview process for their ML intern roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Palo Alto Networks's ML intern interview process in United States.