Open Risk Exchange Machine Learning Engineer interview questions
based on 1 rating - Updated 9 May 2018
Easyinterview difficulty
Very positiveinterview experience
How others got an interview
100%
Applied online
Applied online
Interview search
1 interview
Open Risk Exchange interviews FAQs
Machine Learning Engineer applicants have rated the interview process at Open Risk Exchange with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 100% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 3 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Open Risk Exchange overall takes an average of 3 days.
Common stages of the interview process at Open Risk Exchange as a Machine Learning Engineer according to 1 Glassdoor interviews include:
I applied online. The process took 3 days. I interviewed at Open Risk Exchange (London, England) in Jul 2016
Interview
First a short conversation via phone. Then personal meeting, short general conversation about past experience (30 minutes) and programming test (90 minutes). The questions were typical and were similar to those that can be found in "Cracking the Coding Interview", a book written by Gayle Laakmann McDowell.
Interview questions [2]
Question 1
I got some data. I needed to build a classifier and make predictions for the test set. Very similar to some challenges that can be found on www.kaggle.com
Write a function/method/class that is going to perform some operation on text/lists, etc. Very similar to the questions that can be found in "Cracking the Coding Interview", a book written by Gayle Laakmann McDowell.