I applied through an employee referral. The process took 2 weeks. I interviewed at Amazon (Boston, MA) in Mar 2022
Interview
the first round: one coding problem and one case study with statistical knowledge. Coding is not easy, you need to practice a lot. Case study is kind of simple but you need to be familiar with the statistical concepts.
Interview questions [1]
Question 1
one coding problem and one case study with statistical knowledge. Coding is not easy, you need to practice a lot. Case study is kind of simple but you need to be familiar with the statistical concepts.
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
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.
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.