Applied Scientist II applicants have rated the interview process at Amazon with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 42% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist II roles take an average of 27 days to get hired, when considering 26 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Applied Scientist II according to 26 Glassdoor interviews include:
Phone interview: 29%
Skills test: 21%
One on one interview: 16%
Personality test: 13%
Presentation: 13%
Group panel interview: 6%
Background check: 2%
IQ intelligence test: 2%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 3 weeks. I interviewed at Amazon (Seattle, WA) in Feb 2025
Interview
Weird interview. Only the phone screen. Encountered a weird interviewer. Asked questions and about papers not related to my research at all. No fundamental ML or otherwise questions asked. The interviewer couldn't understand the mathematics I was explaining and had a very weak understanding of ML and CV concepts.
Interview questions [1]
Question 1
Explain different kinds of transformer architectures.
I applied through a recruiter. I interviewed at Amazon (Seattle, WA) in Jun 2026
Interview
This interview was for the Applied Scientist Position at Amazon. It was a Science breadth/Depth as well as 1 easy LC problem. After that did a full loop interview. 1 Science ML Breadth, 1 Science Depth, 1 Sys Design (Team-specific), 1 coding round and 1 Bar Raiser
Interview questions [1]
Question 1
Bias-Variance tradeoffs. Bagging Vs boosting. Modeling details in my project. Basic Statistical Questions. DSA: String compression problem.
1 HR round
4 technical interviews (coding+depth+breadth) of Machine Learning.
1 round to go into depth of my own projects.
1 round on general data science questions + system design (model a pipeline end-to-end for translating one set of multimodal objects to another language)
Two easy Leetcode problems, some ML coding problems and a lot of Leadership Principles talk. Overall average experience. A lot of middle managers not much room to innovate or take risks. Like working for the DMV