J'ai postulé en ligne. J'ai passé un entretien chez Microsoft en mars 2019
Entretien
A standard behavioral interview by phone, lasted about 30-35 minuted. I was asked why I was interested in the role, what projects I have worked on in the past, what course did I take at uni etc.
At the end I was asked to give a definition of recursion (the only somewhat technical part of the interview)
J'ai postulé en ligne. Le processus a pris 5 semaines. J'ai passé un entretien chez Microsoft (Cambridge, East of England, England)
Entretien
Very standardized process in which: 1) someone that does not know anything about the position calls you and in 30 min asks you a bunch of stuff including some brainer exercise; 2) you have another call to know how awesome ms is; 3) you have 5 interviews in a row (in place or online during COVID) where they ask you basic but detailed stuff coming from the bachelor, even if you are a Master or a PhD. The manager does not even listen to you (confirmed by other two intervieeved)
Questions d'entretien [1]
Question 1
- Bayes theorem
- binary search
- how to apply GANs in medical images (while the interviewer does not listen to you)
- multiply a bunch of numbers
- what's the heap
- What's the limit of the python stack
- name the most famous algorithm in Deep Learning
- how many lines of code have you written at most for a project (-.-)
- do you know unit?
- what's the last paper you read?
J'ai postulé en ligne. J'ai passé un entretien chez Microsoft
Entretien
It was a Skype interview with HR, a bit close on time, but overall it had a good flow and the questions were precise enough without too much noise and wasted time.
Questions d'entretien [1]
Question 1
Asked about my background in the field, my interests, followed by some coding questions.
Skype interview talking about past experiences both technical and non-technical followed by an AI-related question. Talked about the length of past programming experiences, the different groups i had worked with and how i felt this related to the position i was applying for.
Questions d'entretien [1]
Question 1
What classifying line would you use for this data set? (shown a graph with different lines of best fit for a data set)
