Interview search
33 interviews
Text IQ interviews FAQs
- Machine Learning Engineering Intern (Masters/PhD) applicants have rated the interview process at Text IQ with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 41% positive. To compare, the company-average is 41.2% positive. This is according to Glassdoor user ratings.
- Candidates applying for Machine Learning Engineering Intern (Masters/PhD) roles take an average of 17 days to get hired, when considering 17 user submitted interviews for this role. To compare, the hiring process at Text IQ overall takes an average of 17 days.
- Common stages of the interview process at Text IQ as a Machine Learning Engineering Intern (Masters/PhD) according to 17 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 20%
Presentation: 20%
IQ intelligence test: 10%
Skills test: 7%
Group panel interview: 7%
Background check: 3%
Here are the most commonly searched roles for interview reports -
- Software Engineer(4) .
