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 100% positive. To compare, the company-average is 59.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist Intern roles take an average of 30 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 29 days.
Common stages of the interview process at Amazon as a Applied Scientist Intern according to 1 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Amazon (Seattle, WA)
Interview
The interview process was very smooth. I had two interviews for the Applied Scientist intern role. This was followed by the hiring manager discussion. The two interviewers covered basic coding questions, an ML design question, behavioral questions, and a discussion on research experience.
Interview questions [1]
Question 1
Two interviews:
The first interview was on my research work and one coding question (write code for a basic text tokenizer).
The second interview was on an ML design question (How will you go about designing a Machine Translation system) + behavioral question (Tell me about a time when you had limited time to work)
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.