The interviewer was team manager and explained what his team is doing. After that, he asked me on my previous projects. He explained one of the projects his team is working on and asked me how to solve some specific problems related to the project.
Applied Research Interview Questions
518 applied research interview questions shared by candidates
The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.
Why do you want to work here in American Samoa?
1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)
Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)
how to get all combination from 4 list, each list contains certain numbers.
Artificial Intelligence and Deep Learning, Reinforcement learning.
1. Improvements upon the classical attention (in LLMs) that can save compute/arithmetic operations.
Lot of things asked during the paperwork, documentation needed to be provided for obvious reasons. Extremely thorough.
The test was about floating-point arithmetic; in the first task, I had to implement a very simple floating-point operation considering possible optimizations. In the second task, I had to compare and choose the best between two given implementations of a simple mathematical operation and justify the answer.
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