Machine Learning Engineer Intern applicants have rated the interview process at Uber with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 49.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer Intern roles take an average of 30 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Uber overall takes an average of 24 days.
Common stages of the interview process at Uber as a Machine Learning Engineer Intern according to 2 Glassdoor interviews include:
Phone interview: 50%
Presentation: 50%
Here are the most commonly searched roles for interview reports -
I applied for the position and completed the online assessment on HackerRank. I was able to solve all the problems successfully, but unfortunately did not hear back or move on to the next interview round, which was disappointing.
Interview questions [1]
Question 1
The main thing they asked was to complete an online assessment on HackerRank, which consisted of 3 coding problems of medium difficulty.
I applied through an employee referral. The process took 4 weeks. I interviewed at Uber in Feb 2021
Interview
The whole process is smooth, it lasts longer than I expect though. The earlier you apply for the position, the bigger chance you may get the offer. I applied for the position too late...