All technical questions. Mostly easy algorithms questions. I applied for ML engineer but only one interview was on machine learning, and it wasn't coding and I didn't even have to write a single equation.
Machine Learning Developer Interview Questions
8,202 machine learning developer interview questions shared by candidates
how to efficiently count the number of 1 bits in a 32 bit number
Leetcode : 2medium, 1 hard, 1 easy
What is your related project experience?
What is linear regression
How do deploy machine learning algorithm such that the algorithm is still private
You are given 10000 mails with 'CREATED_AT' timestamp, how will you create an ML model which finds the time of heavy mail flow?Basically at what time do we get highest mails(this was the question on which we spent 15+ mins)
We have an extensive collection of digitized archive records. Sometimes the OCR technologies that digitize these physical records make mistakes and produce some sections of garbled text. If you were to train an LLM on these records, how would you handle such OCR errors affecting training and inference?
They gave me an example situation with 10 labels and asked me how I would treat the data to have a model training. Each label also had a specific data type. They only accepted one specific solution
brainstorm questions, and some writing-code problems using some language with rules designed by them
Viewing 231 - 240 interview questions
See Interview Questions for Similar Jobs
Machine Learning ResearcherPython Machine Learning EngineerMachine Learning EngineerMachine Learning ResearchApplied Machine Learning EngineerArtificial Intelligence DeveloperMachine Learning ConsultantSoftware Engineer Machine LearningMachine Learning Research EngineerMachine Learning SpecialistMachine Learning Research ScientistApplied Machine Learning ResearcherDeep Learning Research EngineerAi Machine Learning EngineerSenior Artificial Intelligence EngineerSoftware Engineer DataSenior Computer Vision EngineerJunior Machine Learning Engineer