Applied Scientist Intern applicants have rated the interview process at Amazon with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 67.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist Intern roles take an average of 9 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 33 days.
Common stages of the interview process at Amazon as a Applied Scientist Intern according to 3 Glassdoor interviews include:
Phone interview: 29%
IQ intelligence test: 14%
Presentation: 14%
Personality test: 14%
One on one interview: 14%
Skills test: 14%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 2 weeks. I interviewed at Amazon (Sunnyvale, CA) in Apr 2022
Interview
Had two rounds of interviews. Both were technical rounds. Combination of ML theoretical questions and Coding questions. Questions on the Amazon leadership principles in the mix too. Questions were on EM algorithm, Ensemble techniques, and ML infrastructure pipelines on technical side. Two Leetcode Medium questions.
Interview questions [1]
Question 1
Questions were on EM algorithm, Ensemble techniques, and ML infrastructure pipelines on the technical side. Two Leetcode Medium questions.
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.