I had a call with a recruiter who immediately set up a VC with one of the managers at SF. The screening with the manager was a very good experience overall. Then I was set up a coding and ML interview which didn’t go that well. The interviewer was in an overall bad mood and lost patience in the middle of the interview. Didn’t let me finish the tasks before pointing out mistakes and in general it was a person very narrow-minded.
In general, I would suggest Twitter to pick up interviewers who are happy with their current position and that won’t be biased towards candidates.
Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en X (San Francisco, CA) en sep 2024
Entrevista
Not complicated, multi layered / multi round, many questions asked about prior work history in machine learning, were looking for young, hungry, experienced candidates. Easy for them to find and sift through since they're a premier place to work at for this application.
Preguntas de entrevista [1]
Pregunta 1
Asked if I was willing to work at the office at all times, essentially live there, come to find out they're moving to TX and thus I can't follow them.
Phone screen at Twitter for MLE II. One hour coding interview with a software engineer on the same team. Spent the first 10 minutes going through the resume and the rest 45 minutes doing leetcode questions.
Preguntas de entrevista [1]
Pregunta 1
Leetcode question with minor change. Apply DFS/BFS to traverse a matrix. Follow-up question is another leetcode question that requires knowledge of prefix tree.
The interviewer gave me a coding question and ask me to solve it. I told him my idea first and then start writing code. After I finish the basic solution, he asked me to optimize it. Then he asked me about time and space complexity.