Meta Machine Learning Fulltime Onsite Interview Experience
Interview Experience
Screening: 衣貳酒: Yuandi +
follow-up: Do not change the input 樲咡漆: Yuandi +
follow-up: Do not use global variable
Onsite The following content requires a score higher than 150. You can already view it.
Full Details
Screening: 衣貳酒: Yuandi +
follow-up: Do not change the input 樲咡漆: Yuandi +
follow-up: Do not use global variable
Onsite The following content requires a score higher than 150. You can already view it. Coding 1: Round-trip airfare (medical clothing, modified) 死零巴:
follow-up - TC (exploring various extreme inputs) Coding 2: 饓死, modified:
return minimal steps to make it valid 衣衫疤:
follow-up: How to slightly optimize SC? dfs -> iterative, implement iterative SD: Short video BQ: Routine questions Proud project Conflict Constructive feedbacks How you continuously improve/learn your tech stacks
About This Question
This is a candidate experience report from a meta interview for a mle role during the onsite round reported in 2025.