Machine Learning applicants have rated the interview process at cynapse with 3.5 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 75% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning roles take an average of 28 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at cynapse overall takes an average of 14 days.
Common stages of the interview process at cynapse as a Machine Learning according to 2 Glassdoor interviews include:
Other: 25%
Phone interview: 25%
Presentation: 25%
One on one interview: 25%
Here are the most commonly searched roles for interview reports -
Take home assignment of a CNN classifier. Self implement any model. Send results back and further discussion on the results and methods used in the follow up interview. Discussion about components in the model and reasoning behind using that component
I applied online. The process took 4 weeks. I interviewed at cynapse (Singapore) in Oct 2018
Interview
2-3 ROUNDS OF INTERVIEW, Starts with a phone call with general questions about you followed with test sent via email. when you send the results and report back, if you pass they will call you and ask few technical questions and will ask you again to do some more tasks in the given test, and after that again you have to send the report back. If you pass they will call you for final face to face interview.
Final round will be with project manager with many technical questions.
If you pass than there will be final discussion on terms.
Interview questions [1]
Question 1
what will you do when your model is overfitting or underfitting?