Data Collection Engineer applicants have rated the interview process at Magic Leap with 3 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 44% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Collection Engineer roles take an average of 11 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Magic Leap overall takes an average of 43 days.
Common stages of the interview process at Magic Leap as a Data Collection Engineer according to 2 Glassdoor interviews include:
One on one interview: 29%
Group panel interview: 14%
Skills test: 14%
Presentation: 14%
Background check: 14%
Phone interview: 14%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Magic Leap
Interview
The interview consisted of basic introductions in the beginning and then moved onto behavioral and situational scenarios. The main portion of the interview lasted at least thirty minutes with the remaining fifteen for any questions regarding the position or team.
Interview questions [1]
Question 1
1. How would you handle a conflict regarding a project?
A mixture of behavioral questions, basics of EE&CS, Linux and Python. A few coding questions that I would tag as easy or medium in Leetcode. It took 6 interviews (4 technical) over the span of two months.
Interview questions [1]
Question 1
A mixture of behavioral questions, basics of EE&CS, Linux and Python. A few coding questions that I would tag as easy or medium in Leetcode. It took 6 interviews (4 technical) over the span of two months.
I applied through an employee referral. The process took 1 week. I interviewed at Magic Leap (Remote) in Aug 2021
Interview
There were three interviews. The first one involved a 1:1 with a member of the team to get to know your background and experience. The second interview involved behavioral questions in case by case data collection scenarios and the third interview was technical assessing your Python skills.
Interview questions [1]
Question 1
Q: What would you do if you were collecting data late in the day only to realize that you and your colleague had failed to collect the right data? What steps would you take and how would you communicate to your colleague?