Machine Learning applicants have rated the interview process at IBM with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 66.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning roles take an average of 125 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at IBM overall takes an average of 30 days.
Common stages of the interview process at IBM as a Machine Learning according to 3 Glassdoor interviews include:
Phone interview: 40%
Presentation: 40%
Other: 20%
Here are the most commonly searched roles for interview reports -
Applied online and was given a phone screen (recruiter called me out of nowhere). Did not make it to a face to face interview, interviewer stopped responding after phone screen.
Interview questions [1]
Question 1
Tell me more about your prior experience with machine learning research.
I applied online. The process took 12 months. I interviewed at IBM (New York, NY) in Jan 2018
Interview
i got through resume screen around.3 coding question each of one hour then general introduction question and then some question on topics of ml. And some hash map implementation question using vectors. Questions like what is CNN? how is it similar to brain? Which field is it used?
I applied through an employee referral. The process took 2 weeks. I interviewed at IBM in Mar 2017
Interview
The interview was a video interview with recorded answers followed by two coding challenges of easy and medium difficulty. The questions were broad, theoretical questions related to Machine Learning.
Feedback was immediate within 1 day.
Interview questions [1]
Question 1
How do you distinguish a classification problem from a regression problem?