Write a formula for cross enthropy loss.
Senior Machine Learning Engineer Interview Questions
614 senior machine learning engineer interview questions shared by candidates
In the coding round, they gave you a scenario and let you pick a language to solve the problem. You choose your own IDE. The algorithm used is not hard but the scenario is a little mess and there are edge cases you need to find by yourself. In ML round, they just gave you a problem in 1-2 sentences, and you need to lead the conversation to solve the problem. It's open-ended and like the case study in DS interview, which does not require you to explain how to implement.
How do you deploy a model to the edge/cloud?
Questions were straightforward and related to my research.
The coding interview was a leetcode easy/medium level string manipulation question. The machine learning round questions were more focused to the role and my experience.
Cannot disclose due to NDA restrictions.
Ask about Transformer, RAG workflows, Vector Database, and LLM based questions and Scenarios. Ask about my projects, Academic and Professional Background.
embedding, recent advances for transformers, cross-attentions etc
Worked through some personalization examples
How would you solve data quality issue in finance sector .
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