J'ai postulé via la recommandation d'un employé. Le processus a pris 1 semaine. J'ai passé un entretien chez Amazon en sept. 2023
Entretien
Multiple rounds. DS in-depth, breadth, and coding. For me, DSA coding is a little difficult. DSA preparation takes time and only with the right strategy, you can master it.
Cracking your DSA interviews can become the difference between landing your dream job and still searching for it.
Questions d'entretien [1]
Question 1
The number of ways in which a sum can be reached.
Given an array arr[] of length N and an integer target. You want to build an expression out of arr[] by adding one of the symbols ‘+‘ and ‘–‘ before each integer in arr[] and then concatenate all the integers. Return the number of different expressions that can be built, which evaluates to target.
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
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.