Applied Scientist applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 80% positive. To compare, the company-average is 58.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist roles take an average of 21 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 31 days.
Common stages of the interview process at Amazon as a Applied Scientist according to 5 Glassdoor interviews include:
Skills test: 33%
Phone interview: 33%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
This interview focused more on concepts and theoretical perspectives of machine learning and deep learning techniques. Questions are mostly related to neural network architectures, and some particular techniques involved in training and optimizing.
Got rejected in the first interview. I’ve got result email in a day. I installed chime in my pc but somehow the display didn’t show up. It was a good practice
Interview on machine learning depth and breadth. The interviewer asked an assortment of questions about ML fundamentals and later asked me to describe a project I worked on. They also asked a coding question about depth-first search in a graph which was relatively easy compared to other software engineering interviews I had done.
Interview questions [1]
Question 1
Explain how logistic regression works. Describe a recent ML project I did.