Meta Interview Guide
Meta's coding interviews are fast, standardized, and — since 2025 — partly AI-assisted. Two problems in 40 minutes, no DP, hints encouraged, bugs tolerated. This guide covers every round, what actually gets tested, and the insider details that change how you prep.
What makes Meta different
Meta's coding loop is the speed interview of Big Tech. Forty minutes. Two problems. Both need to be talked through. interviewing.io and Exponent both describe the same shape across Meta writeups: Google gives 45 minutes for one problem with silence time, Meta doubles the question density and watches how fast you move. The real question here is whether you can make good decisions under pressure, not whether you can admire the problem for a while.
The other thing that is genuinely unique: Meta banned dynamic programming from coding rounds. Completely. This trips up candidates who spend weeks grinding DP because it works elsewhere — interviewing.io's Meta guide explicitly flags the DP-grind trap. At Meta, that prep does not transfer. Redirect that energy to arrays, trees, graphs, and hash tables. Those four categories cover roughly 80% of what Meta asks.
Since late 2025, Meta has put an AI assistant inside many of its interviews. Prep guides describe one onsite coding round with a full IDE and a model chooser dropdown; Meta Careers lists Claude, ChatGPT, Gemini, and Meta models, and says no outside AI tools are allowed. The AI-assisted round is closer to real production work than a whiteboard — which also means the failure mode is predictable: accepting AI output too quickly. The strong answer names the trade-off, checks the suggestion, and treats the model like a fast intern, not an oracle.
The interview itself is more collaborative than most candidates expect. Meta trains interviewers to give good hints, and that training matters enough that hints are part of the system, not an accident. If your interviewer nudges you, listen. Taking a hint is not penalized. Minor bugs are not, either. Meta values speed and forward progress more than bug-free first-pass code (which is a very production-minded trade).
The interview loop
5–6 rounds total. E6+ adds leadership assessment and architecture depth.
Recruiter Screen
30 min · Phone / VideoRole fit, location, timeline, basic background. Meta recruits aggressively on campus and via referrals.
Technical Phone Screen
45 min · CoderPadgate2 easy-medium DSA problems. This is the main gate — fail here and the loop ends. Speed matters: ~15 min per problem.
Coding Round 1
40 min · Onsite / Virtualgate2 problems, LeetCode easy-medium. Raw DSA execution. Meta optimizes for speed over polish — 15 min per problem target.
Coding Round 2 — AI-Assisted
60 min · Full IDEgateFull IDE with terminal, file tree, unit tests, and a built-in AI assistant with a model dropdown (Meta Careers lists Claude, ChatGPT, Gemini, and Meta models). The #1 failure mode is blindly accepting AI suggestions.
Behavioral
45 min · Onsite / VirtualCollaboration, project ownership, impact. Weight is lower at E3, rises with level. Need 1–2 quarter-long project stories at E5+.
System Design
45 min · E5+ onlyArchitecture, tradeoffs, APIs/data flow at Meta scale. Coding determines hire/no-hire; design determines level (E4 vs E5).
The AI-assisted round — what you actually need to know
Prep guides describe one onsite coding round (60 min instead of the usual 40) with a full IDE environment: terminal, file tree, unit tests, and an AI model dropdown. Meta Careers lists Claude, ChatGPT, Gemini, and Meta models; the model list can change between pilots and rollouts.
The evaluation is judgment under AI assistance, not raw output. Interviewers watch whether you can critically evaluate AI suggestions, catch errors, and integrate them into a working solution. Blindly copy-pasting is the fastest way to fail.
Prep guides report this round began piloting in Q4 2025, and Meta Careers now says many interviews include the AI assistant.
Difficulty breakdown
55% medium and 15% hard, with 30% easy. The high medium percentage reflects Meta's two-problems-per-round format — they need problems that are solvable in 20 minutes each but still test real understanding. The low hard percentage is partly because DP is banned — which removes many of the hardest traditional interview questions.
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See pricingNew grad entry (E3)
New grads enter at E3 (Software Engineer) with ~$173K median total comp: $139K base + $28.6K annualized stock + $6K bonus. Meta is one of the highest-volume new-grad hirers in tech.
What's different at E3:
- No system design round. This is a major advantage over companies like Uber, which requires LLD/OO design even at L3.
- Behavioral is lower weight — 1–2 solid project stories are usually enough.
- Your loop is: recruiter screen → 45-min phone screen → onsite (Coding 1, AI-Assisted Coding 2, Behavioral). Three rounds on the onsite, not four.
- Early-career comp is base-heavy and predictable — stock is only 17% of TC at E3 vs 63% at E6.
- Expected progression: E3→E4 in 1.5–2 years, E4→E5 in 2–3 years. E5 is terminal level.
Interview culture
Candidates consistently report that Meta's process is highly standardized — less variance between teams than Apple or Netflix. 57% of Glassdoor respondents rate the experience as positive (difficulty 3.2/5).
The "move fast" ethos permeates the interview. Speed and execution velocity are valued above perfectionism, and interviewers are trained to give good hints rather than let candidates struggle silently.
Negative reports center on post-interview communication — rejection emails with no feedback and recruiter ghosting are recurring complaints. The behavioral round carries medium/low weight relative to coding, but E5+ candidates need at least a couple of quarter-long project stories to demonstrate scope.