Tell me about the projects on your resume and how they fit what this team needs.

"I applied and they called me the next day, which was faster than anything else I have seen. The process was a recruiter screen, a 55 minute phone screen, and then a five-interview final loop with no take-home, all done remotely even though the role was SF-based. The most unusual parts were that the recruiter gave me actual feedback between rounds and that the EM system design was really a critique of a prebuilt Anthropic-style inference design, not a blank-sheet design. Across the whole loop, they cared a lot more about my resume, project decisions, management style, and culture than coding or AI trivia. I ended up getting rejected, and the written feedback was that my people-management round did not show the depth they were looking for."

"I interviewed for a Senior Staff MLE role, and the biggest thing I’d say is Reddit felt pretty team dependent, so I wouldn’t assume every team runs the exact same loop. Mine started with a recruiter screen that surprisingly included a couple very basic ML questions, then a hands-on technical screen where I had to work with data in a notebook-style environment and get a model actually running. The final loop was ML fundamentals, ML system design, coding, and a hiring manager round. The ML system design round was the most interesting because I had prepped for a modeling-heavy conversation and got pushed much more into ML infra, like deployment, latency, feature pipelines, and how the A/B test would work under the hood."