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.
Learning Technology Interview Questions
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Asked about the software and tactics I used to project manage. Also requested info about the scale of projects.
Why are you looking to switch?
The typical questions for an interview.
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.
The technical interview is about discussing the solution for the code challenge and questions related to that.
Python coding & ML-related questions
What are your thoughts on corporate education?
Describe a challenging situation and how you managed to overcome it?
Describe diffusion model and their application
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