Machine Learning Engineer 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 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%
Personality test: 9%
Group panel interview: 9%
Skills test: 9%
Presentation: 9%
Other: 7%
IQ intelligence test: 4%
Background check: 2%
Drug test: 2%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at Amazon
Interview
I just got the interview through a phone call. I talked with their HR staff. I sent my CV before the interview, and I describe my previous working experiences, like the project I did, the programing language I used, and etc.
Interview questions [1]
Question 1
What is your working experience ? And, what language do you use?
The phone screen was straightforward, starting with some basic algorithm questions. After a few minutes of discussing my background, we dove into a coding challenge about finding two numbers that sum to a target. I enjoyed explaining both the brute-force method and the optimized hash map approach. The wild part was that I had practiced a similar problem on PracHub just a few days earlier, so it felt familiar. Following this, there was a technical round focused on machine learning concepts, which went smoothly before I received a written offer. Overall, a positive and engaging experience.
Interview questions [1]
Question 1
Given an array of integers, find two numbers that sum to a target value. Start with a brute-force O(n^2) approach, then optimize using a hash map to O(n). Walk through edge cases (duplicates, negative numbers, no valid pair) and discuss the space-time tradeoff.
The interview process was smooth, and the interviewer was professional and friendly. It was online and took about 35 minutes. The recruiter will give you some guidelines on how to prepare.
Only had first round, a recruiter reached out to me as I had applied for another role. the total time to interview was 2 weeks. One recruiter interview and then with the hiring manager
Interview questions [1]
Question 1
Low level system design about designing a ranking system based on the number of sales of a product as well as taking into consideration the time complexity. had to do some in O(logn)