1. One web screening (coding). This is the standard sort of leetcode question
2. One Leetcode interview. Wasn't actually hard, just some Leetcode medium question involving divide-and-conquer
3. Two interviews with research scientists. They asked me about my research direction, basically just spoke about my research for a full hour. Asked plenty of questions about my papers.
Interview questions [1]
Question 1
If I have a deep neural network, and I increase the training batch size to be $K$ times larger, how should I scale my hyperparameters (learning rate, momentum)?
I applied online. The process took 2 months. I interviewed at Meta
Interview
There was 1 research and 1 coding interview. The research interview consisted of 2 parts: in the first part, they asked questions about my publications, while the second part was a brainstorming session about a research problem.
I had two interviews: one for research fit, where I presented my own research and the interviewer asked a lot of open-ended questions and the second was 45 minutes of ML coding (no pytorch), which was not very hard.
there is one coding round, just two lc easy questions, and 1 research round, asked about my research papers, gave hypothetical situation and asked for specific model architecture design details. Overall was pretty normal and not hard.
Interview questions [1]
Question 1
1. Dot Product of Two Sparse Vectors
2. Randomly sampling K elements from a list without replacement
