I applied online. I interviewed at Amazon in Jun 2021
Interview
I interviewed with AWS ProServe
The first step was a take home Data Science assigment followed by a 1 hour technical conversation on the work done
The next round was a full day interview: Questions on past experiences / behavioral typed questions on the amazon leadership principles.
Interview questions [1]
Question 1
Take home: NLP or Computer vision (Kaggle type of assignment)
Tell me about a time where...
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.