Implement basic algorithms for reading, sorting and fetching text data from files, some basic math and kubernetes questions and architecture. Explaining the differences between concepts and basic company culture fit questions.
Nlp Research Intern Interview Questions
38 nlp research intern interview questions shared by candidates
Could you share the algorithms and feature engineering methods you used in your text classification model?
Why are you interested in Enlitic?
What are your experiences in Generative AI, distributed training, and knowledge distillation of NLP models? What is your expected salary?
I didn't expect them to ask specific statistical NLP questions, though I later found out that it has been always their way of NLP interviews.
Mostly HR kind of questions about the challenges, my strengths etc.
The first interview was about designing a ML/NLP model. Detailed questions about model details and evaluation metrics were asked.
Can you explain what an attention mechanism is?
Talk about your project, and the skills you have for the job
Questions: Tell me about yourself Briefly described about my research Did I work with any pretrained model (e.g. BERT) and What I used it for? Difference between transformer and LSTM? Difference between naive bias and logistic regression? Given a dataset of sentiment classification (gave some description, what are the labels), how would I approach the problem?
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