Machine Learning Engineer Interview Experience

This was my second time going through the same Meta MLE process, and compared to the prior year the big changes were a written portal pre-screen and the new AI-enabled coding round. A sourcer reached out by email, I filled out the questionnaire, then I did a 45-minute coding screen with two LeetCode-style questions before getting the full loop. I split the loop across four days, one round per day: coding, AI-enabled debugging/coding, behavioral, and an ML design round on a TikTok-style recommendation system. The coding felt very standard Meta to me, but the AI round was the distinctive one because I had to debug an unfamiliar codebase, run tests intelligently, and use an LLM without blindly trusting it.

This was my second time going through the same Meta MLE process, and compared to the prior year the big changes were a written portal pre-screen and the new AI-enabled coding round. A sourcer reached out by email, I filled out the questionnaire, then I did a 45-minute coding screen with two LeetCode-style questions before getting the full loop. I split the loop across four days, one round per day: coding, AI-enabled debugging/coding, behavioral, and an ML design round on a TikTok-style recommendation system. The coding felt very standard Meta to me, but the AI round was the distinctive one because I had to debug an unfamiliar codebase, run tests intelligently, and use an LLM without blindly trusting it.