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 86% positive. To compare, the company-average is 55.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist Intern roles take an average of 25 days to get hired, when considering 7 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 Intern according to 7 Glassdoor interviews include:
One on one interview: 30%
Skills test: 30%
Phone interview: 20%
Presentation: 10%
Background check: 10%
Here are the most commonly searched roles for interview reports -
I applied through university. The process took 2 weeks. I interviewed at Amazon (Seattle, WA) in Jan 2020
Interview
Two phone calls. No coding interview. Mostly asking questions and opinions on model design and problem solving. After that, you will receive email notification on offer acceptance. The process is really nice and comfortable. However, I did not get offer since the field they are working is not matched to my research interests.
Interview questions [1]
Question 1
Mostly, machine learning and deep learning basic knowledges especially BERT and other fine-tuning model.
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.