Interview questions

What are linear regression assumptions?

Companies: Bnp

What Cross-Validation Reduces: Bias, Variance, Type I or Type II Error

Companies: Headlands

ML Fundamentals · Model Evaluation

What features and feature selection would you use?

Companies: Meta

When an LLM Feature Should Use Prompting or Fine-Tuning Instead of Retrieval

Companies: Google

AI Product Management · Fine-Tuning & Alignment Techniques

When do you use mixed-effects models

Companies: Google

Regression & Statistical Modeling

When prioritize precision vs recall

Companies: TikTok

When use LLMs for reporting?

Companies: Natoora

Which clustering algorithm would you use and why

Companies: Meta

Which Regularization Penalties Set Model Coefficients Exactly to Zero

Companies: Pinterest

ML Fundamentals · Regression & Statistical Modeling

Why do transformers struggle with long context?

Companies: Dandy

LLM Inference & Serving · Transformers & Attention

Why Is the Sample Mean Approximately Normal for Large Samples?

Companies: Two Sigma

Why LLM Training Is Hard and How to Organize the Team to Hit Time and Cost Targets

Companies: Google

Roadmapping & Planning · Technical Tradeoffs for PMs

Why use LLMs for daily summaries?

Companies: Natoora

Write and explain gradient descent pseudocode

Companies: Amazon

Write Pseudocode for Embedding Creation and Vector Search

Companies: Nike

Write the Cross-Entropy Loss and Compute Precision, Recall and F1

Companies: ByteDance

ML Fundamentals · Model Evaluation

Write the logistic regression loss function

Companies: Apple

Regression & Statistical Modeling · Supervised Learning

Writing, Evaluating and Iterating on LLM Prompts for a Production AI Feature

Companies: Sierra

LLM Evaluation · Prompt Engineering

xAI PM ML Question: Data and Models Behind Next-Word Typing Suggestions

Companies: xAI

AI Product Management · ML System Design