Machine Learning Engineer applicants have rated the interview process at Toptal with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 38.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 22 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Toptal overall takes an average of 23 days.
Common stages of the interview process at Toptal as a Machine Learning Engineer according to 3 Glassdoor interviews include:
Phone interview: 40%
Background check: 20%
One on one interview: 20%
Presentation: 20%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Toptal in Feb 2022
Interview
1st step: normal talk, probably just testing English
2nd step: codility test. not difficult but somehow got a Data Scientist problemset instead of Computer Vision
3rd step: Live coding. Ended up with rejection.
Also my impression of the interviewer(Toptal Employee) is really bad it makes me don't wanna work with Toptal.
Interview questions [1]
Question 1
problem 1: histogram image normalization with 7x7 kernel
problem 2: cdf-based image normalization.
I applied online. The process took 3 weeks. I interviewed at Toptal (Paris) in Jun 2023
Interview
account manageer interview: the usual tell us about your experiences, past project etc, technical interview with an experienced developer: he was not prepared with concrete questions, just ad-hoc (this is not negative) + a live coding, that was not practical I think
Interview questions [1]
Question 1
tell about your background, then a technical inteview (practical questions) and live coding
No clue about what they are interviewing for, very random process and random questions. especially the criteria for selecting ML engineers is not about understanding ML but about coding with pandas very good