Machine Learning Scientist applicants have rated the interview process at Amazon with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 59% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Scientist roles take an average of 28 days to get hired, when considering 17 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 Scientist according to 17 Glassdoor interviews include:
Phone interview: 44%
Presentation: 13%
One on one interview: 9%
Skills test: 9%
Personality test: 6%
Group panel interview: 6%
IQ intelligence test: 6%
Background check: 3%
Other: 3%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 day. I interviewed at Amazon (New York, NY) in Apr 2016
Interview
Talk into details about my most recent project and also asked some basic ML concept. Then let me describe how to solve a specific NLP problem. Lastly give a medium level DP algorithm problem.
Interview questions [1]
Question 1
What's the difference between MLE and MAP inference?
Call with a recruiter followed by technical interview. The technical interview covered broad Machine learning questions. Then the coding part. The problem required prior knowledge of a calculus theorem, which in my opinion was not fair.
the interview process was nice and clear. Had two rounds of interview for the internship position. Both rounds were technical interviews. They asked my research experience and a case-study. Both had programming questions
I applied online. I interviewed at Amazon in Jan 2021
Interview
The interview process is very structured and clearly explained. The decision making on the employer's side was quite fast.
The only negative factor during the interview process was that no one showed up for my first scheduled interview.