Best Practises for ML
Software Engineer Machine Learning Interview Questions
240 software engineer machine learning interview questions shared by candidates
What's the difference between classification and regression?
Typical CS, Software Engineering best practices, Big Data and Machine Learning problems, good amount of whiteboarding, discussions of prior projects and lot of other industry standard questions.
How would you set up a ML pipeline
First round: ML coding (AUC function) Onsite: OOP schema question (chess) Algo-DS coding question Behavioral round with senior engg. lead ML system discussion with Director of Engg. ML (optimize labeling workflow, question on how sample size affects sensitivity, specificity)
Why you are interested in the company? Tell me about yourself?
Questions depend on the job your interview for
LC medium question (C++) on google doc
Coding rounds were similar to general software engineering questions based on trees. ML was like ML design rounds.
General C++ questions: exceptions in constructors / stack unwinding, step-by-step creation of objects (order of constructors & members initialization), virtual inheritance. Specific question - can you use 'auto_ptr' in vectors?
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