2 algorithmic interviews and 2 ML interviews. For algorithmic, both were easy to medium leetcode-style questions. For ML, one was about basics of ML, statistics, data analysis and the other was little more specific topic like NLP.
Machine Learning Interview Questions
8,208 machine learning interview questions shared by candidates
The questions were mostly based on the workings of various ML frameworks including their own so some specific knowledge was required.
What is the definition and application of stack, heap, etc.
What does this company do?
Walk me through one of your projects. How did you monitor? How did you detect drift or bias? Explain a time to me when a model failed. How did you detect the failure? There was also a coding interview in which they shared a GitHub project beforehand. Task was to then pair-code with one of their engineers.
leetcode medium variations, can't say specific ones
I was a medium leetcode hashmap problem.
Avresti remore morali a lavorare nel settore bellico?
past exp, technical in depth, be ready to answer every part of ML/projects you've done
What type of metrics do you use in your models?
Viewing 6721 - 6730 interview questions
See Interview Questions for Similar Jobs
Machine Learning Software EngineerIntern Data ScientistMachine Learning Research ScientistData Science Summer InternSoftware Engineer Natural Language ProcessingRobotics Software EngineerMachine Learning ScientistMachine Learning EngineerMachine Learning Research EngineerData Science Software EngineerResearch Scientist Computer VisionJunior Data ScientistSoftware Engineer Machine LearningSenior Data ScientistData Scientist InternMachine Learning ResearchData ScienceBioinformatics Software Engineer