ML Engineer interview at Meta

[m00nlight67]

I'm getting ready for a Machine Learning Engineer interview at Meta and want to know what kinds of questions they ask. I've looked online, but most of the advice is too general or mostly about coding. I'm more curious about the ML side, like how to make models better, pick the right features, and put models into real use. If you've had interviews at Meta or other big tech companies, I'd love to know what kind of ML questions they asked, did they focus more on math or on how to build things?

Thanks a lot! Just trying to be better prepared but I'm really nervous!

 

[ScriptedMind]

Concentrate on the practical side of machine learning, think feature selection, evaluation, and the balance between bias and variance, along with deployment. While coding might come into play, grasping the concepts of applied machine learning is what really matters