One coding question was asked during the phone screen. Although it was not from LeetCode, I discovered it in LeetCode discussions afterward. This question had been asked about six months prior.
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,199 machine learning interview questions shared by candidates
questions around device graphs. How would you use log in information and device activity to build a device graph?
Explain this code (ML code)
Past experience
What was the reason for changing jobs?
Why do you want to work for grammarly
1) Build a production ready API with an ML model behind. 2) Explain the different optimization algorithms in DNN. 3) What are kernels and what is their use? 4) Why CNN's are translation invariant? 5) Review a Python module suggesting changes. 6) How would you regularize Random Forests? 7) How to make linear regression and Random Forests robust to outliers?
What challenges you faced in one of your experiences?
[I implemented the vector database in one of my experiences using InMemoryVectorStore] Why InMemoryVectorStore? Why not Chroma or Pinecone?
What is Neural Network ?
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