Machine Learning Engineer applicants have rated the interview process at EY 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 70.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 21 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at EY overall takes an average of 27 days.
Common stages of the interview process at EY as a Machine Learning Engineer according to 1 Glassdoor interviews include:
One on one interview: 100%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at EY in Oct 2022
Interview
Interview process was smooth and interviewer was professional. Date and time of interview was mutually agreed. I was contacted directly by the company talent team and interview was scheduled within a week.
Interview questions [1]
Question 1
Program on String split function. Program on List. Machine learning basic to intermediary questions.
I applied through a staffing agency. I interviewed at EY (Pune) in Jun 2021
Interview
The interview process consisted of 3 rounds.
1st round was basic technical related to data science projects and basics of Machine learning..and the 2nd round was more into technical coding and python.
Interview questions [1]
Question 1
What is the difference between bias and variance.
Different SQL joints questions.
Python group by aggregate functions.
Machine learning lifecycle.
I applied through a recruiter. The process took 3 weeks. I interviewed at EY (Buenos Aires) in Aug 2019
Interview
Entrevista bastante razonable. Estaba dividida en dos partes: soft skills, fit cultural y nivel de inglés y luego otra entrevista con mi actual jefe en la cual hablamos sobre mi experiencia previa y las tareas a desarrollar del puesto ofertado