This repo stores various questions and notebooks to help interview Machine Learning Engineers. Feel free to contribute to it to add/extend on the list of questions.
We will cover different areas of the MLE job since it spans across multiple job families: SW Engineer, Data Analyst, Data Scientist, DevOps Engineer.
- The first really has to do with the algorithms and theory behind machine learning. You’ll have to show an understanding of how algorithms compare with one another and how to measure their efficacy and accuracy in the right way.
- The second category has to do with your programming skills and your ability to execute on top of those algorithms and the theory.
- The third has to do with your general interest in machine learning. You’ll be asked about what’s going on in the industry and how you keep up with the latest machine learning trends. There are company or industry-specific questions that test your ability to take your general machine learning knowledge and turn it into actionable points to drive the bottom line forward.
- The last is more about Behavioral skills - and it can probably be skipped if the candidate is going through a formal Behavioral Interview