Ace your Meta interview
Fast-paced, coding-first, with a strong signal on product intuition and behavioral. Meta moves quickly — expect back-to-back rounds.
77,000+ employees · Founded 2004 · HQ Menlo Park, CA
The Meta interview is a 5-stage loop: Recruiter screen through to offer. Fast-paced, coding-first, with a strong signal on product intuition and behavioral. Meta moves quickly — expect back-to-back rounds. Candidates are scored against 6 stated values, and the 5 questions below are the ones that recur most across recent loops.
Interview loop
- Recruiter screen (30 min)
- Technical phone screen — 2 coding problems in 45 min
- Full loop (5 rounds): 2 coding + 1 system design (senior+) + 1 behavioral + 1 hiring manager
- Team match
- Offer
What Meta values
Every behavioral answer should map back to one of these. Interviewers score explicitly against them.
- Move fast
- Focus on long-term impact
- Build awesome things
- Live in the future
- Be direct and respect your colleagues
- Meta, metamates, me
Top questions with answer frameworks
These aren't verbatim leaks — they're the shapes that keep showing up. Practice the framework, not the exact wording.
Coding
Given a binary tree, return the in-order traversal.
Recursive is 5 lines. Iterative with a stack is the follow-up they want — shows you understand the mechanics. O(n) time, O(h) space where h is tree height. Mention both.
System design
Design Facebook News Feed.
Requirements: 3B users, 500M+ daily active, sub-second load. Approaches: pull vs push vs hybrid. Push (fanout on write) for regular users, pull (fanout on read) for celebrities. Data model: user, follows, post, feed_item. Ranking: ML scoring service. Discuss consistency vs staleness tradeoff.
Behavioral
Tell me about a project that failed.
Meta's 'be direct' value means they want you to own it. Structure: what you set out to do, what actually happened, what you learned, what you'd do differently. Avoid blaming others. The failure itself matters less than the reflection.
Coding
Merge k sorted linked lists.
Min-heap approach: O(N log k) where N = total nodes, k = number of lists. Alternative: divide-and-conquer merge, same complexity but easier to reason about. Interviewer wants to see you weigh the tradeoff.
Product / domain
How would you decide what to launch next on Instagram?
Product-sense probe. Frame: (1) which user segment matters most right now, (2) what metric you'd move, (3) what hypothesis you'd test, (4) how you'd measure success. Show you think in metrics, not features.
Compensation
E3 (new grad) SWE base: $170-200K + $50-100K stock + $20-30K bonus. E5 SWE: $220-280K base + $200-400K stock + $40-60K bonus.
Use our salary calculator to convert a total-comp offer to actual take-home by state.
Culture note
Meta interviewers are direct — if they don't understand your approach, they'll say so. Take it as data, not criticism. Iterate visibly.
Practice live
MiPrep's Interview Copilot runs during your real Meta interview and streams answer prompts to a HUD invisible to screen share. Grounded in your resume + the Meta JD — not generic model output.
Similar interview loops
These companies run a comparable process — prep for one and most of the work carries over.
Ready for your next interview?
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