Research Engineer applicants have rated the interview process at OpenAI with 3 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 38.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Research Engineer roles take an average of 18 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at OpenAI overall takes an average of 32 days.
Common stages of the interview process at OpenAI as a Research Engineer according to 6 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 33%
Skills test: 33%
Here are the most commonly searched roles for interview reports -
The recruiter was enthusiastic and supportive throughout the process, showing genuine interest in my background and experience. However, responses were somewhat slow at times, which occasionally made it harder to maintain momentum during the interview process.
it starts with HR screen followed by technical screen I applied online via their website. Process wasnt bad people were friendly - the interviewer seemed a bit zoned out though during the technical screen.
Interview questions [1]
Question 1
Good interview process, friendly I got asked to write code for a data loader and write the necessary tests for it
a recruiter reached out discussing team match followed by a hiring manager screen of the interested team, and then a technical interview testing general coding ability, followed by more technical screens focused on ML
Interview questions [1]
Question 1
implementation heavy leetcode style question involving array manipulation