Machine Learning 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 25% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 37 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Machine Learning Intern according to 4 Glassdoor interviews include:
Phone interview: 33%
Skills test: 17%
Other: 17%
Presentation: 17%
Background check: 8%
Drug test: 8%
Here are the most commonly searched roles for interview reports -
I applied in-person. I interviewed at Amazon (San Francisco, CA) in Mar 2021
Interview
I have 2 interviews and both were in a similar format.
The interview was an hour long.
first 20 mins: about my research and background.
next 20 mins: questions about ML/AI
last 20 mins: coding problem
Interview questions [1]
Question 1
What is the difference between Autoencoder and variational autoencoder?
I applied online. The process took 3 weeks. I interviewed at Amazon in Nov 2021
Interview
I got a call from the Alexa team. There were 2 rounds. Both rounds had basic machine learning questions related to spam email classification and other basic stuffs. In the coding round, one question was from tree (Evaluate Expression) and another one from Linked List (Add two numbers).
I applied online. The process took 2 months. I interviewed at Amazon (Tel Aviv-Yafo) in Feb 2021
Interview
Set cc on the website for this job, took one 1month to call me back to set an interview. Techincal interview with 2 interviewers, took 1.5 hours, got a response after 1 day in the mail.
Interview questions [1]
Question 1
Tell about a project I have done with a lot of questions about the task and the implementation.