I don't remember the exact problems, but they were LeetCode originals. I was asked a Quick Select question. The follow-up question asked what to do with a large amount of data, and I answered to use a heap. I was also asked a binary search question. They weren...
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I viewed a Jupyter Notebook. The notebook had cells with different levels of a math problem. The question is related to probability distributions associated with LLM-decoding stopping time. Based on the results of the probability distributions, I had to design...
The interview focused on practical coding problem-solving and communication skills, not rote memorization. I was expected to know common data structures like arrays, lists, queues, maps, trees, and graphs, and when to use them, but not to implement complex dat...
The interviewer was friendly. The coding question was LeetCode 1472. **Follow-up question I**: I was asked to implement the `haveVisited()` function to check if a node had been visited. **Follow-up question II**: handle multi-tab scenarios.
### Round 1: Coding The coding question was to write a class that supports `insert(num: int)` and `findLargest(k:int)` methods. For example: ``` insert(3) insert(3) insert(2) findLargest(0) is 3 findLargest(1) is 3 findLargest(2) is 2 ``` The goal was to make...
This was my first time participating in an onsite interview, and I was quite nervous. The entire process was smooth. A recruiter helped schedule the interview, arranged transportation (plane tickets, hotel, or local commute), and explained the day's agenda. Bo...
This was a technical phone screen for a Product Data Scientist role. However, the interviewer was from the AI team, so the questions might not have been typical. I was asked: * SQL: Calculate cohort-based retention rate (classic problem). * Python: Given a set...
After a brief introduction of the business context, I was asked a series of fundamental ML/DL questions: * The differences between Layer Normalization and Batch Normalization. * Characteristics of different regularization terms. * Approaches to CTR prediction....
I had three rounds of interviews, each lasting 45 minutes and covering coding and behavioral questions. I was expected to write main methods to run my code and provide complete solutions for all follow-up questions. For behavioral questions, I was asked about...
The interviewer was the hiring manager. I had to implement K-Means clustering, but it didn't need to be runnable. The interviewer just needed to see that my implementation was okay. I could use any framework I wanted (Python/NumPy/PyTorch).
