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 Scientist Interview Questions
296 applied research scientist interview questions shared by candidates
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)
1. Improvements upon the classical attention (in LLMs) that can save compute/arithmetic operations.
Are you familiar with the BART model
List some model parallelism paradigms that can tackle the low throughput issue in model training/serving
Several coding tasks where you had to turn in and document code to solve several business cases.
coding challenge: -easy level leetcode - medium level SQL query (you can't just wing it) - implementation of a distributed sum algo
Standard questions: why are you looking, greatest strengths/weaknesses, five year plan
Machine Learning Coding Interview I was provided with two CSV files containing different sets of attributes for the same entity and tasked with developing a classification model.
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