Coding: Two Leetcode questions first was easy-ish but need optimal solution and second was easy maybe medium and needed optimal solution. Definitely discussing time and space complexity. ML Concepts: Just someone incredibly knowledgeable and thorough asking very details technical questions about all the models on your resume, about choices made, subtle differences between models. Explain gradient boosting etc.. difference between XGBoost and LightGBM.
Tell me about one of your past projects and how you used ML? What was one of the biggest challenges in this project?
Familiarity with version control, software development processes, questions about debugging processes.
Coding, Machine Learning knowledge, probability and statistics, past projects.
There were a couple technical problems, mostly it seemed to confirm the things on my resume, but much of the interview process involved talking about past work experiences/projects and my approach and challenges faced in both.
how they manage project priorities
What was your research area?
Interview 1: Projects on CV and coding problems; Interview 2: Machine learning algorithms in details; Interview 3: Machine learning and deep learning platforms, difference between nn and deep learning; Interview 4: HR, behavoiral questions
Talk about your previous projects.
Explain how would you define machine learning problem for DSP solution in Ads optimization?
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