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 online. The process took 3 months. I interviewed at Amazon (Brisbane) in Feb 2023
Interview
Online coding assessment that was required to be complete within 5 days. 2 LC questions - easy and medium. 2 online interviews. First covered coding - 1 LC easy question and low-level ML problem. Second covered ML depth and breadth. Both interviewers were pleasant and happy to help if you got stuck on an issue. Recommend brushing up on foundations (calculus, linear algebra etc.) as both interviewers asked low-level questions.
Interview questions [1]
Question 1
Breadth - generative models, loss functions, tokenizers, LLMs, convolutions, residuals Depth - my research, applications and relation to other fields Math - implement SGD for a problem (derive gradients, update, momentum etc.). Derive closed-form solution to this problem.
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.