It’s apparent from the outset that the interview is designed to put the interviewee at ease. My interviewer was calm, engaging, thoughtful, and most notably, very kind. Much time was spent getting to know each other, which naturally brought my heart rate down because my focus shifted to the interesting aspects of my interviewer's life.
When it eventually came time for technical assessments, I was so fortunate to have an interviewer ask clarifying questions when I made errors. This gave me an opportunity to correct said errors and move forward with the process.
The final part of the interview consisted of an opportunity for me to ask any questions of my interviewer, some of which were related to the position, and others which had no pertinence to the job at all. I came away feeling that the interview is designed to reduce anxiety and maximize the interviewee’s ability to shine.
It is imperative that you become familiar with Amazon's leadership principles and the STAR method of experiential inquiry.
The following metrics were computed from 6 interview experiences for the Amazon ML Data Linguist role in United States.
Amazon's interview process for their ML Data Linguist roles in the United States is very selective, failing most engineers who go through it.
Candidates reported having very good feelings for Amazon's ML Data Linguist interview process in United States.