I applied online. I interviewed at Milwaukee Tool in Mar 2026
Interview
There was a technical screening test, then a 30 min interview to check how the thought process in the test. The next round was with a senior manager who asked an open ended probability question and questions related to parameters in cnn and fully connected network
Interview questions [1]
Question 1
Number of parameters in CNN, and showed different plots and asked which one has higher KL divergence error and why.
I applied online. I interviewed at Milwaukee Tool in Nov 2025
Interview
Round 1 - Online Assessment
Round 2 - Resume and Discussion of OA answers
Round 3 - Mostly Resume Focused , deep dive on experience and projects
Round 4 - HR / Cultural Fit + Some core ML fundamentals
Interview questions [1]
Question 1
Q1, Explain how you applied ML in this project.
OA had questions on PCA, Interpolation, KL Divergence, etc.
Pre interview machine learning quiz. I had 30 or so minutes to complete the quiz, time was not an issue. Lots of questions relating to linear algebra. Several problems involving eigenvectors. Some about linear regression. The quiz was not very focused on high level concepts.
Interview questions [1]
Question 1
Which of the following would you add to linear regression training to fix this specific issue
