Machine Learning Engineer applicants have rated the interview process at IQVIA with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 83% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 3 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at IQVIA overall takes an average of 27 days.
Common stages of the interview process at IQVIA as a Machine Learning Engineer according to 6 Glassdoor interviews include:
Phone interview: 31%
One on one interview: 23%
Skills test: 23%
Drug test: 8%
Background check: 8%
Other: 8%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 day. I interviewed at IQVIA (Penn, PA) in Jun 2024
Interview
Ask about publication papers and research projects and general knowledges for ML training. The problems are not hard but more about the fundamental underlying problems.The interviewer also go through the resume and discuss about the team and overall salary expectations.
I applied online. The process took 3 weeks. I interviewed at IQVIA (London, England) in May 2024
Interview
Hiring manager stage of the interview process. He mainly focused on what was mentioned in my resume and asked questions focused on the tools I used and why. But also question about production ML systems.
Interview questions [1]
Question 1
What deployment tools have you used in your projects?
After applying, I got an email to set up an introductory call. I talked to HR person through a 30 min quick Teams interview. She walked through the role itself and then asked me questions.
Interview questions [1]
Question 1
What experience do you have that would add to the machine learning knowledge at the company? (after explaining what they typically use)