Junior Machine Learning Engineer applicants have rated the interview process at EY with 2.5 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 74.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Junior Machine Learning Engineer roles take an average of 120 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at EY overall takes an average of 30 days.
Common stages of the interview process at EY as a Junior Machine Learning Engineer according to 2 Glassdoor interviews include:
Personality test: 29%
Background check: 14%
IQ intelligence test: 14%
Phone interview: 14%
One on one interview: 14%
Skills test: 14%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 months. I interviewed at EY (Athens, Athens, Attica) in May 2025
Interview
The initial phone screening was followed by a two-stage interview process. The application review period extended beyond three months; however, once the review was complete, the screening and interview stages progressed more rapidly.
Interview questions [1]
Question 1
How were the models deployed and their stability ensured?
Conversation-like interview ,questions about my skills, my background, my experience.No specific technical questions, just a conversation about what I can and cannot offer.They explained how their company works and what the emploee typically does.