I applied through an employee referral. The process took 1 day. I interviewed at Amazon in Mar 2018
Interview
Two phone calls with one asking about past projects and the other asking two of the Amazon leadership principles. The process was quick and non-technical for me, I'm guessing because I had another pending offer and it was just for an internship, not full-time position. Also manager was non-technical and the other interviewer was a SDE and not data scientist.
Interview questions [1]
Question 1
Describe one experience where you invented and simplified.
There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.
First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical