Applied Scientist Intern 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 67% positive. To compare, the company-average is 52.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist Intern roles take an average of 90 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 32 days.
Common stages of the interview process at Amazon as a Applied Scientist Intern according to 3 Glassdoor interviews include:
One on one interview: 50%
Skills test: 50%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. I interviewed at Amazon (San Diego, CA) in Mar 2025
Interview
The interviewer starts with a high-level overview, then go into the main questions - some can be research related, or ML depth/breath. Leadership principle questions were present for all interviews. At the end, they ask whether I have some questions to ask
Interview questions [1]
Question 1
Describe a scenario where you have set an initial goal, but later the result turns out to be greater than expected
I was asked basic knowledge in deep learning and machine learning. Also had time of explaining my research. discussed how I can apply my research to the current project. Transformer architecture, bias-var tradeoff, use of positional encoding, long-term dependencies.
HackerRank assessment with solid, fair questions. Communication with the recruiting team was clear and professional throughout the process. I was invited to two additional interviews, one focused on research depth and the other on coding skills.
One phone screen on LeetCode-style medium coding question plus behavioral questions. One loop of three back to back interviews including one round of coding, two rounds of research plus behavioral questions.