Phone screen E4 MLE - Interview went well, with two coding questions that I solved within the time limit, despite a minor hiccup with an edge case. I had a benevolent interviewer who occasionally helped out.
Onsite - Coding rounds went well. Nothing earth-shattering.
The ML System Design round was the most challenging by far because the interviewer covered so much ground, but I had practiced a lot on Prepfully, and it went alright.
My recommendation: Blind75 + Meta top 50 on LeetCode. Prepfully for ML design mocks. That's it.
Designed next post logic for the Facebook news feed with some arbitrary constraints and optimization goals the interviewer added. This was effectively a variation of a recommender system.
The following metrics were computed from 10 interview experiences for the Meta Machine Learning Engineer role in Menlo Park, California.
Meta's interview process for their Machine Learning Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Menlo Park, California.