Questions were more open-ended. I was given a plot of model training history and asked: "If you were training a model and it was exhibiting these characteristics (train-val loss profile, accuracy, etc.) what would be your next move?"
Deep Learning Scientist Interview Questions
24 deep learning scientist interview questions shared by candidates
Describe some of the projects you have worked on that are most related to this position. What went wrong, how you overcame issues, etc.
Questions about my resume, deep learning work, how I processed the data for x project, etc
Hyper-parameters for any deep learning methods.
1)How does logistic regression work 2)What is Gradient Boosting 3)Longest substring without repeating characters
did you have any interesting things want to share?
(1) Talk about your research. (2) A design question on labeling the multiple products from pictures taken by the phone. (3) Coding: Range sum query 2d - immutable
Quelles approches avez-vous eues l'occasion de tester pour l'implémentation d'un système RAG (Retrieval Augmented Generation)?
The live coding challenge included building a classifier model and evaluating its performance on a provided dataset.
CNN basics. Resume review. Basic coding round.
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