In the Bar-Raiser Interview, I was asked: What do you think of the transparent compensation policy that Rokt applied?
Machine Learning Internship Interview Questions
8,198 machine learning internship interview questions shared by candidates
Design a CVR prediction model
Parenthesis Matching: Write a function to check if parentheses in a string are balanced. Prime Number: Write a function to determine if a number is prime. Discuss the time and space complexity of your solutions. Explore possible optimizations for the implemented solutions. Explain the ML model pipeline from data collection to deployment. What is model quantization and why is it used? Why are you interested in joining Lytx? What are your reflections on past experiences and any mistakes or regrets? What are your key strengths and how do they apply to this role? What challenges do you foresee in the field of computer vision?
MCQ on Python List slicing, coding question on string manipulation(very easy). ML theory questions: How to avoid overfitting, PCA, Bias-Variance tradeoff.
HR screen basically resume interview and they ask you about your specific machine learning experiences.
CNN, RNN, MLP, Back propagation e.t.c.,
Questions based on previous work experience. Scenario-based questions to gauge the knowledge of Big Data, System Design, etc. Questions on Machine Learning Training, Retraining pipelines, Automated Deployments, etc.
What are precision, recall, and F1-score? When would you use them?
It asked me to give them a schedule for the phone screening
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