Meta SWE/MLE: High LeetCode, System Design, tough culture.

Published on 10/30/2025 Hiring & Talent Acquisition Insights

The user is exploring a Software Engineer (SWE) or Machine Learning Engineer (MLE) role at Meta. The hiring process is rigorous, requiring extensive preparation in LeetCode-style data structures and algorithms (optimal O(N) solutions), system design (classic problems, ML system design for MLE), and a new AI coding round for SWE roles. Behavioral interviews are challenging with multiple follow-ups. The work culture can be intense and demanding, with a focus on aggressive performance management and mandatory attrition, although it is team-dependent. Candidates should be prepared for a long team-matching process even after passing technical rounds.