A culture of grinding and working hard
There were three to four rounds: a manager screen, a coding round, and a discussion on theory. I signed a non-disclosure agreement and can't share more. It covers great breadth as well as depth, and it was not as easy as some of the other interviews
I submitted my resume to Scale AI and after a week received a rejection through email. The position wasn't necessarily geared towards new grads and preferred applicants with a PhD or Master's, or at least several published papers in the machine learn
Got reached out to by a recruiter. Did a first technical interview debugging some code. On-site was culture + research interview (open-ended questions about LLMs + paper understanding) + coding interview (classic LC-like question).
There were three to four rounds: a manager screen, a coding round, and a discussion on theory. I signed a non-disclosure agreement and can't share more. It covers great breadth as well as depth, and it was not as easy as some of the other interviews
I submitted my resume to Scale AI and after a week received a rejection through email. The position wasn't necessarily geared towards new grads and preferred applicants with a PhD or Master's, or at least several published papers in the machine learn
Got reached out to by a recruiter. Did a first technical interview debugging some code. On-site was culture + research interview (open-ended questions about LLMs + paper understanding) + coding interview (classic LC-like question).