Language Analyst Interview Questions

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I was asked what my salary expectations were at the first interview, and then again before the final interview. I openly shared my expectations, however, the offer I received was so much lower that I consider the time and effort invested into the recruitment process as wasted. The company should be transparent about what they can offer since the beginning.
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Language Owner

Interviewed at Revolut

4
Jul 7, 2021

I was asked what my salary expectations were at the first interview, and then again before the final interview. I openly shared my expectations, however, the offer I received was so much lower that I consider the time and effort invested into the recruitment process as wasted. The company should be transparent about what they can offer since the beginning.

Technical Assessment (20 minutes) LeetCode Question: Longest Palindromic Substring Coding live where the interviewer can see your code on a shared editor. Discussion and Questions (40 minutes) Self-Introduction Project Discussion: Explain a project related to LLM LLM Creation: How is a Large Language Model created? Model Architectures: Explain the different models and their architectures (e.g., GPT, LLAMA, Falcon, BLOOM) Positional Embeddings: What is the purpose of positional embeddings? Normalization Techniques: Difference between BatchNorm and LayerNorm Retrieval-Augmented Generation (RAG): - What is RAG? Explain its purpose. - Even if you use RAG, there are hallucinations occurring. Why is this so and what can you do to mitigate? - What other current academic advancements in RAG? Explain about some frameworks that are trending. Scenario Question: If we have large-scale data (billions of records) from the web, how can I efficiently select math-related data? Discuss using distributed computing frameworks if possible.
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Algorithm Engineer, Large Language Model

Interviewed at Shopee

3.7
Nov 5, 2024

Technical Assessment (20 minutes) LeetCode Question: Longest Palindromic Substring Coding live where the interviewer can see your code on a shared editor. Discussion and Questions (40 minutes) Self-Introduction Project Discussion: Explain a project related to LLM LLM Creation: How is a Large Language Model created? Model Architectures: Explain the different models and their architectures (e.g., GPT, LLAMA, Falcon, BLOOM) Positional Embeddings: What is the purpose of positional embeddings? Normalization Techniques: Difference between BatchNorm and LayerNorm Retrieval-Augmented Generation (RAG): - What is RAG? Explain its purpose. - Even if you use RAG, there are hallucinations occurring. Why is this so and what can you do to mitigate? - What other current academic advancements in RAG? Explain about some frameworks that are trending. Scenario Question: If we have large-scale data (billions of records) from the web, how can I efficiently select math-related data? Discuss using distributed computing frameworks if possible.

Al colloquio personale mi sono state poste domande molto comuni ai colloqui di lavoro: come per esempio "perché hai deciso di cambiare lavoro?", "come hai gestito situazioni di difficoltà nel tuo attuale ambiente lavorativo?", "dove ti vedi tra 5/10/20 anni?". Mentre ai colloqui successivi mi hanno posto domande più pratiche, quindi abbiamo simulato un role play dove dovevo convincere chi mi faceva il colloquio a partire con EF.
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Language Consultant

Interviewed at EF (Education First)

3.5
Feb 11, 2024

Al colloquio personale mi sono state poste domande molto comuni ai colloqui di lavoro: come per esempio "perché hai deciso di cambiare lavoro?", "come hai gestito situazioni di difficoltà nel tuo attuale ambiente lavorativo?", "dove ti vedi tra 5/10/20 anni?". Mentre ai colloqui successivi mi hanno posto domande più pratiche, quindi abbiamo simulato un role play dove dovevo convincere chi mi faceva il colloquio a partire con EF.

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