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Here are some frequently asked interview questions for the role of a Machine Learning Engineer, including both technical and behavioral questions, as compiled from InterviewBit:

Technical Questions

  1. What are Different Kernels in SVM? Source: InterviewBit

  2. Why was Machine Learning Introduced? Source: InterviewBit

  3. Explain the Difference Between Classification and Regression? Source: InterviewBit

  4. What is Bias in Machine Learning? Source: InterviewBit

  5. What is Cross-Validation? Source: InterviewBit

  6. What are Support Vectors in SVM? Source: InterviewBit

  7. Explain SVM Algorithm in Detail Source: InterviewBit

  8. What is PCA? When do you use it? Source: InterviewBit

  9. What is ‘Naive’ in a Naive Bayes? Source: InterviewBit

  10. What is Unsupervised Learning? Source: InterviewBit

  11. What is Supervised Learning? Source: InterviewBit

  12. What are Different Types of Machine Learning algorithms? Source: InterviewBit

  13. What is F1 score? How would you use it? Source: InterviewBit

  14. Define Precision and Recall? Source: InterviewBit

  15. How to Tackle Overfitting and Underfitting? Source: InterviewBit

  16. What is a Neural Network? Source: InterviewBit

  17. What are Loss Function and Cost Functions? Explain the key Difference Between them? Source: InterviewBit

  18. What is Ensemble learning? Source: InterviewBit

  19. How do you make sure which Machine Learning Algorithm to use? Source: InterviewBit

  20. How to Handle Outlier Values? Source: InterviewBit

  21. What is a Random Forest? How does it work? Source: InterviewBit

  22. What is Collaborative Filtering? And Content-Based Filtering? Source: InterviewBit

  23. What is Clustering? Source: InterviewBit

  24. How can you select K for K-means Clustering? Source: InterviewBit

  25. What are Recommender Systems? Source: InterviewBit

  26. How do check the Normality of a dataset? Source: InterviewBit

  27. Can logistic regression use for more than 2 classes? Source: InterviewBit

  28. Explain Correlation and Covariance? Source: InterviewBit

  29. What is P-value? Source: InterviewBit

  30. What are Parametric and Non-Parametric Models? Source: InterviewBit

  31. What is Reinforcement Learning? Source: InterviewBit

  32. Difference Between Sigmoid and Softmax functions? Source: InterviewBit

Behavioral Questions

  1. Describe a time when you had to work collaboratively on a project. What was your role and the outcome? Source: General behavioral question references from career websites

  2. Tell me about a challenge you faced in a recent project and how you handled it. Source: General behavioral question references from career websites

  3. How do you prioritize your tasks when you have multiple deadlines to meet? Source: General behavioral question references from career websites

  4. Can you give an example of a time when you had to learn a new technology or tool for your job? How did you go about it? Source: General behavioral question references from career websites

  5. Describe a situation where you had to explain a complex concept to a non-technical person. How did you ensure they understood? Source: General behavioral question references from career websites

This comprehensive set of questions will help candidates prepare thoroughly for both technical and behavioral rounds of interviews for a Machine Learning Engineer role, such as the one at Reddit Inc.