Machine Learning Intern applicants have rated the interview process at Airspace with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 56.7% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Airspace as a Machine Learning Intern according to 3 Glassdoor interviews include:
Presentation: 27%
Phone interview: 27%
One on one interview: 27%
IQ intelligence test: 9%
Drug test: 9%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Airspace in Mar 2021
Interview
Pretty easy interview. First round was basic questions like "why do you want to work here", etc. Second interview went over my technical background and had me look at code and answer some basic oop questions.
I applied online. I interviewed at Airspace in Feb 2021
Interview
I applied online and had an initial screening with HR and got a second round. In 1st round was asked about my interests and achievements to see if I'm fit. 2nd round was technical, where I explained my research paper on Machine Learning and few questions related to why I used so and so. I was given a piece of code that they used and asked me to review the code, had few questions related to why such and such.
Waiting to hear back for the 3rd round.
I applied online. I interviewed at Airspace in Feb 2021
Interview
First round was a phone call. The interviewer described the job role and asked me to elaborate on which technology I want to work with.
The second round was a zoom video call. The interviewer asked questions only on Python.
Interview questions [1]
Question 1
Question about Python OOP concepts.
Questions on Python methods.