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Learning Engineer Interview Questions
6,585 learning engineer interview questions shared by candidates
(Coding) Write an API & data structure for a specific use case (how would you test it, what's the complexity of the different operations...)? What's your experience with feature engineering? In hindsight, how would you do it differently and why? What's your experience interacting with product teams/managers?
Why did you apply to this program?
They asked me to explain a machine learning system I had worked on end-to-end and justify the design choices.
What did you do in the job or in the program?
If I could explain the exploding gradient problem.
Why clearstream? Tell me about yourself and your background. Technical questions Tell about scikit learn, pandas and your experience with python and ml
Could you please descrive the challenges you had during your recent projects and how you solved them?
What did you do in your previous job? What tools did you use? Did you process large datasets? Do you write code and how do you ensure clean code practices? What are your MLOps capabilities? What problems did your solutions have in your previous work and how did you fix them? They also asked classic ML questions: When is classical machine learning better than deep neural networks? What is boosting, bagging, XGBoost, random forest, and decision trees in general?
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