How do transformer neural networks process their input?
Machine Learning Developer Interview Questions
8,224 machine learning developer interview questions shared by candidates
how do you fix overfitting
How would I solve some problems they provided. What would I do differently in some projects that I have previously done.
Read a technical paper and implement the algorithm described in the paper.
What was your most challenging project
Find the maximum sum of subarrays of any size
What is the time complexity of DFS?
The technical parts of the interview consisted of coding up an ML algorithm from scratch, a modeling exercise with a small data set, leetcode type questions, and deeper ML concept questions related to resume experience.
Why are you looking to switch?
First being the introductory call exploring the previous work and depth in it. Second round was a case study , a ML problem statement was given and a holistic solution considering data, architecture, latency monitoring was expected. Third round was paper discussion, A published research paper is shared prior to the interview. During the interview, the paper is discussed and critiqued, questions were asked around paper's novelty, short-comings, performance at different metrics, its usability/reproducibility and how the work can be continued further.
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