I applied online. The process took 4 months. I interviewed at Amazon
Interview
Applied Online. HR contacted within a week to schedule interview with a lead data scientist.
Waited for the interview result for about a month and got hired in another company in this time too.
Recruiters take forever to give a result. Send a yes/no immediately so that we can not have any hope. Remember at the end of the day, many other companies do the similar work and pay more than this does, so better not make candidates wait if you are not interested.
Note: that job opening was still available after 5-6 months since I have applied.
All the best team 😁
Interview questions [1]
Question 1
Asked about resume and went deep into some of the statistical models I have worked. It was a good learning experience where the questions asked kinda excited me and introspected my learnings. And at the end had a basic sql group by question.
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.