The interviewer is nice, introducing themselves first.
And then give a case study with a series of demands to assess your background of machine learning.
Lastly, some behavioral questions such as any experience of over-delivering the job?
I got a rejection letter two days later.
Interview questions [2]
Question 1
What kind of methods should be used if the clients need to interpret the features?
I applied through an employee referral. The process took 1 week. I interviewed at Amazon (Atlanta, GA) in Feb 2020
Interview
1st round interviewer was a software engineer specialized in ML. The person has a MS degree from a top 3 computer science university. First half an hour was question about data structure and computation cost. Then the coding was to find the minimum value in an array. Finally there was one leadership principle question. Second round was by a ML applied scientist who earned PhD in CS from a reputable university. There was no coding thought he was expected to ask about ML questions. Their was a leadership principle question.
The process took 2 weeks. I interviewed at Amazon (New York, NY)
Interview
Applied, had a technical (statistics) phone interview, then a coding and behavioral assessment. The coding part is not too hard if you have training in computer science or you are an experienced coder. I would say that most PhDs in statistics, mathematics, and other quantitative fields probably won't do well on it unless they have studied and implemented basic searching, sorting, and string manipulation algorithms.
