Describe your biggest project. How to deal with noise in data (NLP).
Machine Learning Intern Interview Questions
8,203 machine learning intern interview questions shared by candidates
Do you have the experience in reinforcement learning?
Implement some of classic Machine Learning algorithms
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.
What is Transformers and explain the attention mechanism
Python Questions: GIL, multithreading vs multiprocessing, Poetry vs Python venv, Anaconda, Conda.
Describe your research work?
Tell me about the challenging project you have worked on.
R1: 1. Coding question involving arrays (LeetCode medium-level difficulty) 2. PySpark scenario-based question focused on data manipulation 3. Asked to write an SQL query to assess understanding of joins R2: 1. HLD question on designing a targeting system
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?
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