Coding - Recursion and Array Manipulation Technical - BERT, Deep Learning Fundamentals and NLP research
Junior Machine Learning Engineer Interview Questions
8,202 junior machine learning engineer interview questions shared by candidates
How did you handle evaluation of the deep learning model for this project?
How to make vector retrieval efficient
What is KV cache ? how does it help in LLM inference ?
- Qué assessments metrics había utilizado yo en uno de mis proyectos y porqué. - Funcionamiento de una CNN.
Cannot disclose due to NDA.
Introduce yourself. Talk about your last internship. Discuss your graduation project. A question about using the one hot encoder with the decision tree algorithm.
The HR call was very short and I did not get asked behavioural questions. The HRs are very nice and reply to emails very quickly. Then the technical interviews. It seems that they have a pool of questions that are shared with all engineers. So the first interviewer asked me backend questions even though I applied for MLE. The interviewer was nice about it when I told them that I have not learned certain topics in school. I was asked about the Machine Learning projects on my resume. They wanted to see how well you know the specific concepts and ML algorithms you used in these projects. For the coding challenge, I got a pretty easy question in the first round, about designing a cache. The question asked in the second round was quite difficult and required dynamic programming. Also, even though the interview started in Mandarin, the interviewer switched to English when I told them that I did not know technical terms in Chinese. We had no problem in terms of communication.
Theory on Transformers and the difference/similarities with RNN. System design to identify NSFW social media posts. Coding - take home code base to familiarise yourself with the problem, expected to redo everything from scratch during 45min (key concepts are asyncio, unit test, embeddings) Enjoyable exercise, but no time to think, you are expected to be a team member that uses this daily so can write and test code quickly.
What commercial uses of data science have you seen and their impact? Examples of work you have done within data.
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