Explain Core ML Training, Evaluation, and Transformer Concepts
Company: Snapchat
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: hard
Interview Round: Technical Screen
Overview: Review overfitting, class imbalance, optimizer behavior, classification metrics, and Transformer architecture in one focused ML fundamentals discussion. The answer ties definitions to validation design, calibration, thresholds, gradient dynamics, self-attention, masking, key-value caching, and practical failure diagnosis.
Read the full Snapchat Machine Learning Engineer interview experience this question came from