Impact related questions, previous projects, leadership background
Machine Learning Researcher Interview Questions
1,879 machine learning researcher interview questions shared by candidates
Asked about deploying machine learning models
When would you choose a Random Forest or a Logistic regression model
Talk about p-value, hypothesis testing and A/B testing
2nd round is about the notebook you wrote in first round
End to end pipeline of the project Components /infra in the projects Communication between teams in the project Have you managed a team Git Visualization tools CI CD deployment of the product Databricks, MLFlow
Technical test was about solving a machine learning (multi-class classification) task.
1. Tell me the difficult NLP project that you have made? 2. LSTM and NER questions. 3. Case Studies. 4. If you have predicted the output and the customer told that I got 75 Fale Positives and 15 False Negatives out of 10,000 data then what will you do to improve your model? 5. Impractical questions.
Typical behavioural questions - advice would be to think about how you work and what you can bring to the company. Standard textbook ML knowledge and some practical scenarios. For the final interview on the HackerRank submission the interviewer had prepared some questions based on my solution - so the advice would be to preempt questions / think beyond your submission.
How do you explain transformer model to a business stakeholder
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