How do you learn? What mediums do you use to learn? What is challenging something you have taught yourself recently? How have you overcome something you were stuck on?
Learning Engineer Interview Questions
6,585 learning engineer interview questions shared by candidates
1. Questions regarding experience using STAR. 2. Metrics in imbalance datasets
a linear algebra coding problem (x = ABC given x, B,C find A)
Build a movie recommendation engine
Guide me through a project that used unstructured datasets
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?
Design a CVR prediction model
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?
MCQ on Python List slicing, coding question on string manipulation(very easy). ML theory questions: How to avoid overfitting, PCA, Bias-Variance tradeoff.
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