A Principal Engineer compares interview processes at 8 major tech firms, detailing coding, system design, and behavioral rounds.
A hiring manager shares advice for technical interviews, framing them as a mutual sales pitch where candidates should position themselves as problem-solvers.
Analyzes how LLMs and AI are making technical interviews harder, leading to more complex coding questions and increased cheating, and proposes work sample tests as a better alternative.
Explores how baseball scouts' subjective biases and focus on physical appearance lead to misjudging player talent, with parallels to hiring in other fields.
A software engineer shares a personal strategy for excelling in technical coding interviews by focusing on development velocity and iterative problem-solving.
The author introduces ApplyingML.com, a site dedicated to sharing practical knowledge and interviews on applying machine learning effectively in real-world work.
A tech founder explains the most common, non-personal reasons candidates aren't hired, focusing on startup hiring realities like role scarcity and team fit.
A software engineer shares advice on preparing for job interviews, including researching companies and asking insightful questions to uncover potential workplace issues.
