Particularly related to computer vision models.
Machine Learning Engineer Interview Questions
6,169 machine learning engineer interview questions shared by candidates
The problem is general and designed according to the app in the company. Define and narrow down the scale of the problem. Then dive deep through the general process of the general system design problems.
Interviews where based on resume and position applying for.
Talk about your experience of machine learning.
Questions related to basic ML
Core concepts about machine learning. Deep dive into previous ML-related projects and experiences
tell me of a satisfying achievement/impact you had in a recent project
1) Can you explain the difference between the Random Forest and XGBoost algorithms? 2) What are L1 and L2 regularization techniques, and which one would you use for feature selection? 3) What are the different model deployment options available in Amazon SageMaker? 4) How would you monitor a deployed model on SageMaker to ensure its performance over time? 5) Can you tell me about a research paper that you found particularly inspiring or impactful? What made it stand out to you?
Explain about your work at prev org
What do you already know about Recursion?
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