Interview questions

Clean OCR data and build an LLM dataset

Companies: Microsoft

Annotation & Label Quality · Data Cleaning & Wrangling

Compare bagging vs boosting on imbalanced data

Companies: TikTok

Compare bagging, boosting, random forests, and bias-variance

Companies: Qube Research & Technologies

Compare Batch Normalization and Layer Normalization

Companies: Snapchat

Debugging · Neural Networks & Training

Compare CNN, RNN, and LSTM rigorously

Companies: Microsoft

Compare CNN/RNN/LSTM and implement K-means

Companies: Microsoft

Computer Vision · ML Coding

Compare DCN v1 vs v2 and A/B test

Companies: Apple

CTR Prediction & Ads ML · Experiment Design (A/B Testing)

Compare float types and design ablation

Companies: Amazon

Compare Gradient Methods, Linear Regression, and Feature Encoding

Companies: Molocoads

Compare GRPO and PPO and Explain Sparse Versus Dense Rewards

Companies: Siemens

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Compare How Models Respond to Multicollinearity

Companies: C3 Ai

Regression & Statistical Modeling · Supervised Learning

Compare Language-Model Post-Training Methods

Companies: Google

Compare Logistic Regression and Random Forest in Limited Data Scenarios

Companies: Google

ML Fundamentals · Supervised Learning

Compare Logistic Regression and Random Forest in Python

Companies: Capital One

Model Evaluation · Supervised Learning

Compare Mixture-of-Experts and Dense Transformers

Companies: Voleon

Compare NLP tokenization and LLM recommendations

Companies: Google

LLM Applications · Transformers & Attention

Compare OLS, Ridge, and Lasso under Collinear Predictors

Companies: Citadel Securities

ML Fundamentals · Regression & Statistical Modeling

Compare PCA and Autoencoders Under the Curse of Dimensionality

Companies: C3 Ai

Compare Predictive Models from Two Vendors

Companies: Google

Model Evaluation · Sampling & Estimation

Compare preference alignment methods for LLMs

Companies: Microsoft

AI Safety & Alignment · Fine-Tuning & Alignment Techniques

Compare Random Forests and Boosted Trees: Bias, Variance, Speed

Companies: TikTok

Supervised Learning

Compare Random Forests vs Gradient Boosting rigorously

Companies: Amazon