I applied through an employee referral. I interviewed at Amazon (New York, NY) in Sep 2017
Interview
First interviewer cancelled interview 15 mins AFTER the original scheduled time. Pushed to next week, but the job description is gone. HR called to explain saying that I need to get rematch to a different team if I pass the interviews.
Second interviewer asked some basic machine learning questions without going deep into anything. Then ask me a very ambiguous question about how to predict products that can be sold next month. Then coding question.
Interview questions [1]
Question 1
Coding: Given a bar plot and imagine you are pouring water from the top, how to qualify how much water can be kept in the bar chart.
Looking back, I'm relieved I declined the offer, despite the intense experience. The interview process felt overwhelming, starting with some tough core ML concepts before diving into the LLM fundamentals. During the technical round, I recognized a tokenization question from a PracHub session I had done just a week before. It felt like a small win in an otherwise challenging interview. Ultimately, the pressure and expectations were high, but I felt it wasn't the right fit for me.
Interview questions [2]
Question 1
LLM fundamentals: tokenization design and KL-regularized SFT
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.