Self introduction + Standard behavioral questions + Some domain specific questions.
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,210 machine learning interview questions shared by candidates
Questions mostly related to computer vision, how segmentation works, general considerations when detecting objects, balls, people.
- Get users opted in/out after processing an opt in/out log - Bigram tokenization - Random weighted sample of a list - Design a recommendation system - Time you dealt with failure - Time you dealt with a conflict at work - Time you dealt with an uncomfortable situation at work - Tell me about yourself - Tell me about time you worked on a team, what were your responsibilities, did you lead? - Tell me about your work experience - Why Yelp
Typical tell me about a time you did this or had to do that
- They ask you to code an ML algorithm - The system design questions are relevant to their challenges and real problems they needed to solve.
Code signal questions/ leet code easy and medium questions
Could talk about projects related to AI/ML you did? Could explain about Agent AI projects you developed? Questions about architecture of Generative AI
How many years of experience do you have in [x] technology?
Tell us about a previous ML project
In system design, for an LLM-based service, how to handle the case of a provider going down
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