why did you choose apple?
Ai Software Engineer Interview Questions
5,950 ai software engineer interview questions shared by candidates
Which project would you like to work on and why?
Python oops concepts Gen AI fundamentals Prompt Engineering How to store and retrieve data for an LLM for search And mostly they check how we approach the question/problem.
I was asked to justify the tools/technologies I used in one of my projects.
The interview questions covered various topics, including JavaScript concepts, working with APIs, and writing SQL queries.
What method will you use if you face with a specific situation.
I don't remember specifics but one question was about pandas, one question about graphs / nodes and one question about lists. I can't remember the last question.
preguntas tecnicas y en ingles
I was asked a wide range of machine learning and AI-related questions, both theoretical and applied. The questions spanned topics such as: Supervised vs unsupervised learning Overfitting and underfitting Evaluation metrics like precision, recall, F1-score, and ROC-AUC Feature engineering and data preprocessing techniques Model selection and hyperparameter tuning Use cases for algorithms like Random Forest, XGBoost, and SVM Basics of deep learning and neural networks I was also asked to solve some practical ML problems live, which involved writing or explaining code, interpreting results, and debugging logic in a collaborative screen-sharing setup. These tasks tested my problem-solving skills, coding proficiency (especially in Python), and ability to think critically under time pressure.
Basically asked me all the details in depth, like the tools I has mentioned in the CV and how I used them. At one point I was basically explaining them each step of deployment for a project I had done.
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