Machine Learning Engineer applicants have rated the interview process at Axon with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 44.1% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Axon as a Machine Learning Engineer according to 1 Glassdoor interviews include:
One on one interview: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Axon (Seattle, WA) in Jul 2023
Interview
First you speak to a recruiter and they explain the company, and ask about your background; ~30 min Next you speak to their ML chief. They ask about your background with more technical depth, and leave the second half to ask you a coding problem. ~ 1 hour total.
Interview questions [1]
Question 1
Suppose you have an M x N grid, where each entry represents a cell with a color of either Blue or White. A A white cell will die if it is not connected to other white cells that are touching the border of the grid. Go through the grid and flip the color of white cells that will die to blue.