The questions ranged from basic topics like bias vs. variance trade-offs to advanced topics like LLMs and self-supervised learning. Usually, they will give you a hypothetical scenario and ask you to solve the problem using ML. Based on your answer, you are asked subsequent questions.
If there is a coworker on your team who is not enthusiastic about the job, what would you do about it.
most technical related questions.
Specific questions about my research.
Tell me about your research.
In the technical interview, we talked about the project, what challenges I foresee, how to overcome them. It was a very interesting and productive conversation.
Research related tough question
Why BAS? Then all technical questions, followed by questions similar to a PhD defense from examiners (very narrow or very wide).
For the full time job, I was asked about a potential real unrelated research problem in a different field.
Technical question to address how I would manage some potential problems.
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