ML Engineer, Prompt Engineer Interview Experience

Tl;dr is that the process was hard, thoughtful, and more advanced than a typical ML loop imo. I got in through someone in my network, then after I applied I went through a recruiter screen, a technical use-case screen, an MLOps round, a hiring manager round, and a three-part final panel with ML design, behavioral, and culture fit. The whole process felt very centered on real LLM work: MCP and tooling, long context windows, memory, reliability, enterprise deployment, and whether I actually know when AI makes sense versus plain ML. One thing that stood out is they let me use their LLM in the interview system, which honestly made it feel closer to the real job than most AI interviews I have done. The culture fit round was the most distinctive because it went deep on ethics, executive pressure, and EQ, and it honestly felt almost like a therapy convo.

Tl;dr is that the process was hard, thoughtful, and more advanced than a typical ML loop imo. I got in through someone in my network, then after I applied I went through a recruiter screen, a technical use-case screen, an MLOps round, a hiring manager round, and a three-part final panel with ML design, behavioral, and culture fit. The whole process felt very centered on real LLM work: MCP and tooling, long context windows, memory, reliability, enterprise deployment, and whether I actually know when AI makes sense versus plain ML. One thing that stood out is they let me use their LLM in the interview system, which honestly made it feel closer to the real job than most AI interviews I have done. The culture fit round was the most distinctive because it went deep on ethics, executive pressure, and EQ, and it honestly felt almost like a therapy convo.