First Round: With one interviewer, I was asked a set of Python MCQs covering concepts like mutable vs immutable types, list comprehensions, and variable scope. Additionally, I solved DSA problems focused on arrays and strings to demonstrate my problem-solving skills and optimization techniques. Second Round: Again, with a single interviewer, I worked on machine learning coding problems and discussed core ML concepts, including algorithms, model evaluation, and practical ML applications.
asked to code backpropagation in numpy.
The OA was just standard leetcode questions
- What product feedback do you have? - When have you created the most impact in your career? - Discussion about past experiences working with researchers / cross functional partners
How would you add 2 numbers if they were represented as Linked Lists?
Basic Data structures and algorithms, ML algorithms.
Greatest strengths. Where do you see yourself in 5-10 years?
Phone screen which asked a lot of high level questions about ML and deep learning
General motivational questions along with math logic problems
What is TF-IDF vectorizer explain?
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