projects I had worked on, neural networks, NLP
Learning Engineer Interview Questions
6,594 learning engineer interview questions shared by candidates
How would you design an ML system that recommends products to users?
What is K in K means clustering
What is the model you used in the problem?
Technical round questions: I was asked about my projects and conceptual questions like batch normalization, dropout, regularization, data augmentation, early stopping, CNN related questions(filter size, resnet, etc). The interviewers were knowledgeable and the questions and discussions were very good. It was followed by a managerial round in which again there are technical discussions and role-level discussions.
What are your strengths and weaknesses?
Technical questions on Docker, Flask, Apache Beam, Git, ...
Ask questions about how to deal with very very considerable data in the machine learning project, like petabytes of data, and how to apply docker in such huge-computation work.
1. What features do you recommend for Adobe's product? 2. Have you used Adobe's product? 3. Why Adobe?
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