Questions related to basic ML
Machine Learning Interview Questions
8,199 machine learning interview questions shared by candidates
Senior ML researcher role - leetcode + basic ML questions, applied research discussion, systems design discussion, each 1 to 1.5h Squad lead role - leadership interview 1h
Core concepts about machine learning. Deep dive into previous ML-related projects and experiences
tell me of a satisfying achievement/impact you had in a recent project
1) Can you explain the difference between the Random Forest and XGBoost algorithms? 2) What are L1 and L2 regularization techniques, and which one would you use for feature selection? 3) What are the different model deployment options available in Amazon SageMaker? 4) How would you monitor a deployed model on SageMaker to ensure its performance over time? 5) Can you tell me about a research paper that you found particularly inspiring or impactful? What made it stand out to you?
Explain about your work at prev org
What do you know about Recursion
What do you already know about Recursion?
Most interviews were technical. First interview was high-level algorithmic question about designing an algo to find closest point in 2D map with limited informations, and to reason on the complexity of the algo I come up with.
Personality related stuff (standard wonderlic assesment)
Viewing 7291 - 7300 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