I applied online. The process took 2 weeks. I interviewed at Amazon (Cambridge, MA) in Jan 2018
Interview
Asked math questions about machine learning algorithms and how I would handle stressful work situations. The interviewers had a lot of questions and little time, so extremely helpful if you can answer quickly and are prepared.
Very courteous and complemented my terrible performance at the interview --though I was clearly underprepared.
Interview questions [1]
Question 1
SVM, how to choose a model, and how to determine if a model is better than another.
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.