Amazon Machine Learning Engineer International Search interview questions
based on 1 rating - Updated 25 Sept 2020
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
100%
Applied online
Applied online
Interview search
1 interviews
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Machine Learning Engineer International Search 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 55.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer International Search 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 31 days.
Common stages of the interview process at Amazon as a Machine Learning Engineer International Search according to 1 Glassdoor interviews include:
Phone interview: 100%
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I applied online. The process took 4 weeks. I interviewed at Amazon in Aug 2020
Interview
A nice procedure I must say. After the coding interview, the online interview with a Machine Learning Engineer was well curated. The task was interesting and I was given a lot of time to describe my previous work to which the interviewer showed a lot of interest. At the end the interviewer let me ask questions concerning the company as well as his experience as a ML engineer in Amazon.
Interview questions [1]
Question 1
Task: 300-d feat vector of sensor data come in every second -- decide whether or not there is a problem. The task was Anomaly Detection. They did not give me any other information but you were allowed and even encouraged to do so.
The next Question concerned the type of problems. There are 5 type of problems but we need to identify if there is a new one.
The last Question concerned production. What should be shared across the different servers?