Machine Learning Engineer applicants have rated the interview process at Canva with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 49.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Canva overall takes an average of 26 days.
Common stages of the interview process at Canva as a Machine Learning Engineer according to 5 Glassdoor interviews include:
Skills test: 43%
One on one interview: 29%
Phone interview: 14%
Other: 14%
Here are the most commonly searched roles for interview reports -
First they start with phone screening. Shortly after this, they will invite you to do an AI assisted interview. After passing this, they will invite you to their final interview which consists of 3 sub interviews: Coding, ML Design and Behavioural.
Interview questions [1]
Question 1
They asked to optimise a recommendation ML based problem for the AI assisted interview
My interaction with one of the recruiters was disappointing. When I mentioned I use VS Code as my code editor, the HR person smirked, which felt condescending. Later, they asked, “Do you even have a job now?” — an unnecessarily rude and unprofessional question. The experience gave the impression that not all members of the HR team uphold the respectful and inclusive culture Canva is known for.
One person with strange accent. I understand 5% of what he’s saying. Another person is the best interviewer I’ve had so far. Very encouraging. Another person is very pushing and condescending.