Solicité el puesto a través de la recomendación de un empleado. El proceso duró 5 semanas. Acudí a una entrevista en Verizon (Palo Alto, CA) en feb 2016
Entrevista
Applied via a reference. Had a phone screen followed by onsite. 5 interviews back to back. Interviewers are not from the hardcore ML crowd and are mostly from low/mid ranked schools.
Ability to think with mathematical rigor was clearly absent. One Data Scientist had little clue as to what Markov Random Fields were. The lab members themselves neither publish in top tier ML/Data conferences nor exuded strong engineering nous.
The upper floor of the office represented a sad state of affairs. Very Bazaar like. The lab itself looks every bit like one of those body-shopping Indian companies based in NJ. The atmosphere was anti-intellectual and very un-silicon valley-like.
They did not even offer a damn fruit during the process that began at 9 AM and lasted till 1:30 PM. All in all, one of the most uninspiring interviewing experiences of my career.
Preguntas de entrevista [1]
Pregunta 1
Standard ML questions. Difference between Supervised and Unsupervised ML. Working of K-means etc. Interviewers were very hand-wavy and math-phobic. Neither software ninjas nor math-gurus.
a phone with HR and the person did not even listn what i was answering that was a very bad experience. just played with words asking me which location is geographically near and then rejected me because it was not the location they had on their mind
Preguntas de entrevista [1]
Pregunta 1
tell me about yourself
which location is geographically near to you
Envié una solicitud electrónica. Acudí a una entrevista en Verizon (Chennai)
Entrevista
They asked for slots I am free to attend the interview then sent me a invite link for face to face interview mainly focusing on technical aspects related to Machine Learning and Data Structures.
First hr call
Then two round technical interview
Almost according to the past experience
The technical interview is median level and almost related to what we learned during work or schools