Machine Learning Research Engineer applicants have rated the interview process at ZEISS Group 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 52.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Research Engineer roles take an average of 60 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at ZEISS Group overall takes an average of 41 days.
Common stages of the interview process at ZEISS Group as a Machine Learning Research Engineer according to 1 Glassdoor interviews include:
Skills test: 50%
Presentation: 50%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 months. I interviewed at ZEISS Group (Jena)
Interview
After a first telephone interview I was invited to a personal interview. I was sent an examplary machine learning task to solve and present during the interview. The interview went well, I think, though perhaps not perfect (answered one technical question wrong). Two weeks after the interview, unfortunately, I received a negative reply, without explanation.
Interview questions [1]
Question 1
technical questions about the presented task and solution, and also the usual questions about prevous experience, etc. No trick questions.