Cracking a machine learning interview at companies like Facebook, Google, Netflix, Snap, etc., really comes down to nailing a few patterns that these companies look for. In this article, I plan to share my experience interviewing with these companies and also how I went about preparing.
About Me
I have six years of experience working as a Machine learning engineer at Meta. I have been part of two teams at Meta. I was an early ML engineer of a misinformation modeling team working on hoax classification models. After three years at misinformation, I moved to the Instagram Ads ranking team, where I’m part of the core-optimization team building and improving upon Ads ranking models across all surfaces on Instagram (Feed, Stories, Reels, etc.)