The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.
I can't think of any major cons.
I had a total of four interview sessions: * Two focused on coding * One on behavioral questions * One on system design Each interviewer was kind and professional, creating a welcoming atmosphere. The questions were fair and well-structured, making
There were 6 interviews: * 1 coding interview * 1 presentation * 1 behavioral interview * 2 machine learning questions * 1 machine learning design question It took 3 days, and each day I had 2 interviews.
A call with a recruiter describing all the different applications of machine learning Facebook is working on. After this, they ask you to describe your skillset. This is followed by a phone/video interview with a senior software developer. I did n
I had a total of four interview sessions: * Two focused on coding * One on behavioral questions * One on system design Each interviewer was kind and professional, creating a welcoming atmosphere. The questions were fair and well-structured, making
There were 6 interviews: * 1 coding interview * 1 presentation * 1 behavioral interview * 2 machine learning questions * 1 machine learning design question It took 3 days, and each day I had 2 interviews.
A call with a recruiter describing all the different applications of machine learning Facebook is working on. After this, they ask you to describe your skillset. This is followed by a phone/video interview with a senior software developer. I did n