Algorithm Developer applicants have rated the interview process at Rafael with 3 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 56.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Algorithm Developer roles take an average of 21 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Rafael overall takes an average of 48 days.
Common stages of the interview process at Rafael as a Algorithm Developer according to 3 Glassdoor interviews include:
Phone interview: 33%
Group panel interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
Seating in a small room with 7 students to solve a test. The test included 3 questions. One of them was the thief problem. In the middle of the test, each time, one of the students taken out for a 15 minutes interview.
Interview questions [1]
Question 1
Thief problem, which is a fundamental problem in computer science.
A few candidates invited to complete a test with a few questions. Every few minutes one candidate taken to personal interview. There might be one more technical interview after this one.
I applied online. The process took 3 weeks. I interviewed at Rafael
Interview
First a phone call from the staff member to find out if I was even suitable for the job. Then the first technical interview that long an hour and a half. I didn't passed the last, but I know that the next steps should be second technical interview, human resources interview and security clearance.
Interview questions [1]
Question 1
1) I was asked about my current job
2) Given a binary image of a single line that cross the image. How to tell what the angle of the camera that need to be changed to take the picture so that the line would be parallel to one of the image borders.
3) The line in reality is at slightly different points than seen in the image since a quantization process for signals occurs while taking a picture. How can we accurate the angle from question 2 so that it is more precisely in reality.