I applied through a recruiter. I interviewed at Amazon (Irvine, CA) in Jul 2020
Interview
On my first round of amazon ds interview. Got questions regarding amazon packages, deliveries. Then Got to the second round. But later told me I have to lower my level, which I refuse. Then my interview is stopped with amazon.
Interview questions [1]
Question 1
Let's say in package different types of pacel, some package will give a% broken, some package b% broken, how do do decide which one to pick. It is just simple compare two proportions with t-test.
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.