Interview questions

Explain Core ML Training, Evaluation, and Transformer Concepts

Companies: Snapchat

Explain core probability and ML statistics concepts

Companies: Bank Of America

Probability · Regression & Statistical Modeling

Explain Data Collection Choices and Their Impact on Downstream Model Performance

Companies: xAI

ML Data Pipelines & Feature Stores · ML Fundamentals

Explain dataset size, generalization, and U-Net skips

Companies: Apple

Computer Vision · ML Fundamentals

Explain decision trees and tree ensembles

Companies: Onemain Financial

Explain Decision-Tree Training and Clustering Algorithms

Companies: Amazon

Supervised Learning · Unsupervised Learning

Explain Deep Learning to a 5-Year-Old Child

Companies: Microsoft

Explain deployment, retrieval, and regularization

Companies: ByteDance

Explain factor leakage checks and IC/ICIR filtering

Companies: Citadel

Explain Feature, Model, and Validation Choices

Companies: Transunion

Explain FlashAttention, KV cache, and RoPE

Companies: TikTok

LLM Inference & Serving · Transformers & Attention

Explain fraud types and evaluate a fraud model

Companies: PayPal

Model Evaluation · Supervised Learning

Explain futures pricing and linear regression basics

Companies: Morgan Stanley

Regression & Statistical Modeling · Trading Systems

Explain Graph Recommendations and Vision-Language Model Training Trade-offs

Companies: Etsy

Explain GRPO for LLM Reinforcement Learning and How It Differs from PPO

Companies: ByteDance

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Explain GRPO-style training for diffusion models

Companies: Google

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Explain How Ads Get Personalized: Signals, Targeting Models and Privacy Limits

Companies: Conde Nast

Personalization · Technical Tradeoffs for PMs

Explain how Amazon's recommendation engine picks the products each shopper sees

Companies: Amazon

Recommendation Systems · Technical Tradeoffs for PMs

Explain How Evals Measure the Quality of LLM-Powered Product Features

Companies: Intuit

AI Product Management · LLM Evaluation

Explain How L1 and L2 Regularization Change Linear-Model Coefficients

Explain how L1 and L2 regularization affect coefficients in a linear model. Use gradients to explain why L1 can produce sparse weights.

Companies: Google DeepMind, Point72

Gradients · Linear Models · ML Fundamentals · Regression & Statistical Modeling

Explain How Machine Learning Works Using a Kid-Friendly Analogy

Companies: Google

Communication & Stakeholders · ML Fundamentals