Have you used gradient descent?
Learning Engineer Interview Questions
6,585 learning engineer interview questions shared by candidates
Three take home coding challenges.
Describe your best project and all the technical aspects involved.
In the Bar-Raiser Interview, I was asked: What do you think of the transparent compensation policy that Rokt applied?
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.
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?
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