J'ai postulé via la recommandation d'un employé. Le processus a pris 5 semaines. J'ai passé un entretien chez Amazon (Los Angeles, CA) en oct. 2022
Entretien
Four rounds.
First two were HR and from the third it was technical interviews. The fourth one is a day of interviews with five people on the team. They prep you with a recruiter beforehand. I didn't get to the fourth interview due to a hiring freeze.
Questions d'entretien [1]
Question 1
The third interview had two parts. One was SQL or python - pretty simple questions
The other question was:
If there is a defective product on amazon how would you identify it?
(Defective meaning unsafe)
Lots of follow up related to my answer.
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.
Questions d'entretien [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.