Interview questions

LLM Adaptation Methods Compared, With One Explained for a Non-Technical Executive

Companies: Google

AI Product Management · Communication & Stakeholders

LLM Application Engineering: RAG vs Fine-Tuning, Context Limits, State and Prompt Injection

Companies: Mercor

LLM Applications · Retrieval-Augmented Generation

LLM Foundations: Architecture, Adaptation, and Steering

Companies: Google

Fine-Tuning & Alignment Techniques · Transformers & Attention

Machine Learning Fundamentals: Optimizers, Scaling Laws, and Clustering

Companies: Meta

Neural Networks & Training · Unsupervised Learning

Market-Making Estimation Game: Optimal Confidence-Interval Strategy Over 5 Rounds

Companies: Optiver

Measuring the Health of a Production ML System, From Data Quality to Business Impact

Companies: Google

Metrics & KPIs · Model Monitoring & Drift

Minimize L1 Distance with k Cluster Centers in Array

Companies: Atlassian

Minimize max L1 radius with k centers in 1D

Companies: Atlassian

Binary Search · Greedy

Minimizing a Convex Quadratic: Closed Form and Iterative Optimization Algorithms

Companies: Uber

ML Fundamentals

ML Basics Check: Bayes' Rule, Forward-Pass Arithmetic, KNN and Transformer Concepts

Companies: Netflix

ML Fundamentals · Neural Networks & Training

Model an ads ranking system

Companies: Snapchat

CTR Prediction & Ads ML · Ranking Models

Model Driver Acceptance Probability

Companies: Uber

Model flight delays with EDA and explanation

Companies: Capital One

Feature Engineering · Supervised Learning

Model preference without ground truth

Companies: Meta

Model Shot Success by Location

Companies: Google

Model Soccer Shot Conversion

Companies: Google

Feature Engineering · Supervised Learning

Model y from x and interpret distributions

Companies: Reddit

Model Monitoring & Drift · Supervised Learning

Next-Track Logic for a Million-Song Radio Service Driven by One Listener Input

Companies: Google

Product Sense · Recommendation Systems

Normalize features and rank logistic coefficients

Companies: Roblox

Feature Engineering · Regression & Statistical Modeling

Normalize targets for multitask regression

Companies: Stripe

On-Device vs Server Inference: Choosing Where an App's ML Model Runs at Scale

Companies: Google

MLOps & Model Serving · Technical Tradeoffs for PMs

Optimize Churn Prediction: Feature Engineering and Model Selection

Companies: Snapchat