Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at QuantumBlack overall takes an average of 45 days.
Common stages of the interview process at QuantumBlack as a Machine Learning Engineer according to 3 Glassdoor interviews include:
Phone interview: 75%
Group panel interview: 25%
Here are the most commonly searched roles for interview reports -
I was asked to complete two challenges, they give you 7 days. After I finished both, I waited for more than three weeks to get any feedback, although I asked twice.
Please be so considerate and provide at least a negative response to candidates when they spend so much time completing your challenges.
Interview questions [1]
Question 1
One challenge was a theoretical quiz on ML and statistics.
The second was a coding challenge on HackerRank.
Initial hacker rank 1-hour timed test (after quick recruiter call)
later rounds would have included a ML round, a system design round, and a HR round.
no feedback on hacker rank was given
Interview questions [1]
Question 1
2 coding (leetcode easy array and fibonacci-esque) + 1 ML (multi-output regression)
I applied through a recruiter. I interviewed at QuantumBlack
Interview
The conversation with the recruiter seemed to go well. The next stage was supposed to be a Hackerrank coding challenge, so I spent time brushing up my skills and studying in preparation but never received the link/heard back from the recruiter/received a formal rejection if that was the case. Was essentially ghosted.
Interview questions [1]
Question 1
General questions about experience, careers goals, etc.