Machine Learning Engineer applicants have rated the interview process at PathAI with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 47.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 17 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at PathAI overall takes an average of 23 days.
Common stages of the interview process at PathAI as a Machine Learning Engineer according to 10 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 22%
Presentation: 17%
Group panel interview: 13%
Skills test: 9%
Other: 4%
Personality test: 4%
Here are the most commonly searched roles for interview reports -
Applied online, directly got hacker rank link. online assessment consists of Multiple Choice Questions + Programming question.
Multiple Choice Questions are basic ML +CNN + Math questions. about 90 mins total
Interview questions [1]
Question 1
Calculate Parameters for given CNN network given the network architecture.
Other ML+CNN questions.
Programming question: Jaccard Coefficient. The examples mentioned were misleading
Two coding problem. Easy, array focused and debugging. Two ML screens - one on research and the other on systems. New grad can crack after 1 month of prep. ML was around regularization and second order optimization.
I applied online. The process took 1 week. I interviewed at PathAI in Jan 2022
Interview
Applied through LinkedIn. The recruiter reached out over email to do a online HackerRank assessment of a custom machine learning problem for AI and it was timed at 60 minutes.
Interview questions [1]
Question 1
The problem was to calculate K nearest neighbors for each of their 2D arrays given another array. Using python libraries was allowed.