Amazon Machine Learning Engineer interview questions
Updated May 11, 2026Difficulty
Average
Experience
Mostly positive
How others got an interview
- 25%RecruiterRecruiter
- 5%Employee ReferralEmployee Referral
Interview search
33 interviews
Amazon interviews FAQs
- Machine Learning Engineer applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 56% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
- Candidates applying for Machine Learning Engineer roles take an average of 46 days to get hired, when considering 27 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 Engineer according to 27 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 17%
Skills test: 9%
Group panel interview: 9%
Personality test: 9%
Presentation: 9%
Other: 7%
IQ intelligence test: 4%
Background check: 2%
Drug test: 2%
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