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.
A screen test with 15 questions related to calculus and probability. Some question about nn and regulation methods. Also asked questions about PCA, covariance matrix. It’s not difficult, if you are CS or Math major you are able to get all of them right.
Interview questions [1]
Question 1
Given a sixth order polynomial model function and ask if add other function to it, is it reasonable or not.
I applied online. I interviewed at Milwaukee Tool (Milwaukee, WI) in Jun 2026
Interview
Round one - 20 questions on linear algebra, optimization, neural networks.
It was easy for someone how has a background in math or CS. There were some questions on PCA, effect of different activation functions and etc.
Interview questions [1]
Question 1
There was a classification problem of red and blue balls that they wanted to use a one layer neural network to do it. One question with linear activation function and one with Tanh. The goal is to fine the number of required neurons for each senario.
Machine Learning Engineer applicants have rated the interview process at Milwaukee Tool with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 43% positive. To compare, the company-average is 60.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at Milwaukee Tool overall takes an average of 19 days.
Common stages of the interview process at Milwaukee Tool as a Machine Learning Engineer according to 7 Glassdoor interviews include:
Skills test: 30%
Phone interview: 30%
One on one interview: 20%
Personality test: 10%
Presentation: 10%
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