I applied through an employee referral. The process took 2 months. I interviewed at Amazon (Seattle, WA) in Mar 2018
Interview
I underwent 7 rounds of interview. The first was telephonic with the hiring manager. He asked me behavioral questions, mostly around my projects. The next was onsite interview, 5 rounds technical. I was asked about my projects, ML questions, predictive modelling, exploratory analysis, few coding etc. It was a long day. Then after a week there was one more telephonic interview. It was a mixture of my projects, codes and case study including statistics.
Interview questions [1]
Question 1
write a code in R/SQL:
Given a table with three column, (id, category, value) and each id has 3 or less category (price, size, color). Now, how can I find those id's for which the value of two or more category matches to one another? For eg: ID1 (price 10, size M, color Red), ID2 (price 10, Size L, Color Red) , ID3 (price 15, size L, color Red) Then the output should be two rows: ID1 ID2
and ID2 ID3
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.