Category
Everything published under this category, page 3.
Interview Practice
Hiring loops for LLM work keep coming back to evaluation, hallucination, cost, and what you put in the context window. Prompt tricks without that backbone don't survive a follow-up.
Interview Practice
An ML hiring loop asks you to pick a model, defend the metric, and say what you'd do when the holdout looks fine and production does not.
Interview Practice
Data engineering hiring loops keep asking whether you can keep pipelines correct and recoverable when something breaks. A stuck nightly job is a typical way that question shows up.
Interview Practice
When every candidate can generate a polished, AI-written answer, the thing that stands out in a live conversation is specifics only you would know, reasoning you can actually show, and honesty about tradeoffs. Employers increasingly want people who can exercise judgment and oversee AI rather than recite it.
Interview Practice
EM interviews probe how you handle underperformance, conflict, and growth, and rehearsed talking points crack under follow-ups. How to practice those answers against real pressure.
Interview Practice
Engineers prep the technical rounds and wing the behavioral one, then fumble "tell me about a conflict" or "a time you failed." How to practice the stories that decide these interviews.