You are an engineer working on search. There has been an incident on social media: users are upset that photo results for certain queries have poor gender diversity, eg. “bodybuilder” shows mostly male bodybuilders. More and more users are posting new queries where results lack gender diversity. This is occurring because our content library is skewed: for each female bodybuilder image we have, we might have 50 male bodybuilders. Another team are manually elevating certain results for certain queries, but this is a manual process, and will not scale well. You have been asked to ship a more general mitigation for this problem by end of day. What would you do?
Machine Learning Internship Interview Questions
8,205 machine learning internship interview questions shared by candidates
Split a data frame into batches.
Python Questions: GIL, multithreading vs multiprocessing, Poetry vs Python venv, Anaconda, Conda.
How can LLMs be leverage for the desired purpose?
Describe an architecture of any neural network
Do you have the experience in reinforcement learning?
I was asked about specific experiences listed on my resume.
What type of metrics do you use in your models?
What are configuration files in AWS SageMaker?
Not hard questions, but the majority was "Tell me a time that you had...". My background examples and dive deeper. The technical case study was about designing the ranking system on the cashback offers, that I was asked to assume 0 background knowledge. Interviewers seemed knowledgable and very polite.
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