Senior Machine Learning Engineer applicants have rated the interview process at Grid Dynamics with 3 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 55.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Machine Learning Engineer roles take an average of 14 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Grid Dynamics overall takes an average of 19 days.
Common stages of the interview process at Grid Dynamics as a Senior Machine Learning Engineer according to 2 Glassdoor interviews include:
One on one interview: 50%
Skills test: 50%
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Not much positive I can tell about this process. They put people with little experience as interviewers. It was difficult for me to get answers to my questions. At the same time I got troubles to understand what I was asked about. Many questions were just impractical, or seemed more like investing nuances, rather than essential skills.
I applied through a recruiter. The process took 2 weeks. I interviewed at Grid Dynamics (Belgrade, Central Serbia) in Feb 2025
Interview
HR and behavioural interviews are pretty standard. Technical interview was focused on the experience & stack, there is a task for temp github project investigation & fixing (instead of leetcode), and ML system design.
Interview questions [1]
Question 1
Could you please descrive the challenges you had during your recent projects and how you solved them?