INTERVIEW GUIDE

Meta Software Engineer Interview: Questions & Process

Meta's software engineer interview is a fast, LeetCode-style loop. Expect a 45-minute phone screen with two medium problems, then a virtual onsite of two more coding rounds, a system design discussion, and a behavioral 'Jedi' round. Speed, clean code, and clear communication of tradeoffs matter as much as getting the optimal answer.

The interview process

1. Recruiter screen — ~30 min call

Tests: background, team/level match, timeline, and what the loop will look like

2. Technical phone screen — 45 min on CoderPad

Tests: two medium data-structures/algorithms problems coded live — you're expected to reach a working, near-optimal solution and talk through complexity

3. Coding onsite (Ninja) x2 — 45 min each, two problems per round

Tests: arrays, strings, graphs, trees, and heaps — clean code, edge cases, and time/space analysis under the clock

4. System design — 45 min discussion

Tests: designing a scalable system like a news feed or messaging service; for new grads this is weighted lighter than for senior candidates

5. Behavioral (Jedi) — 45 min

Tests: impact, drive, handling conflict and ambiguity, and stories that map to Meta's 'move fast' and 'be bold' values

Questions you're likely to get

Technical

Given an array of intervals, merge all overlapping intervals and return the result.
Count the number of islands in a 2D grid of land and water.
Return an array where each element is the product of every other element, without using division.
Find the lowest common ancestor of two nodes in a binary tree.
Find the kth largest element in an unsorted array in better than O(n log n) on average.
Validate whether a string of brackets is balanced, then extend it to handle wildcards.

Role-specific

Walk me through how you'd design the backend for a 'people you may know' feature.
How would you design a news feed that ranks and serves posts to billions of users?
You shipped a feature and latency regressed 20%. How do you find and fix the cause?

Behavioral

Tell me about a time you moved fast and shipped despite incomplete information.
Describe the most significant project you've driven and the impact it had.
Tell me about a time you disagreed with a teammate or manager on a technical decision.
Why Meta, and which of our products would you most want to work on?

Practice these problems live

Relevant LeetCode problems for the Meta Software Engineer loop. Start a live, AI-run coding interview on any of them — or open the problem on LeetCode.

▶ Merge Intervals· Medium · LeetCode #56

Interval merging is a Meta staple that tests sorting plus careful edge handling.

▶ Number of Islands· Medium · LeetCode #200

Classic grid DFS/BFS that shows up constantly in Meta coding rounds.

▶ Product of Array Except Self· Medium · LeetCode #238

Prefix/suffix product question Meta loves for the no-division constraint.

▶ LCA of a Binary Tree· Medium · LeetCode #236

Tree LCA is a frequent Meta onsite question testing clean recursion.

▶ Kth Largest Element in an Array· Medium · LeetCode #215

Kth largest checks whether you reach for heaps or quickselect under time pressure.

▶ Merge k Sorted Lists· Hard · LeetCode #23

Merge k sorted lists tests heap usage and is a common second-problem at Meta.

How to answer (worked examples)

Find the kth largest element in an unsorted array.

Don't jump straight to sorting. State the brute force (sort, index from the end, O(n log n)), then improve: a min-heap of size k is O(n log k), and quickselect averages O(n). Pick one, narrate the partition or heap invariant out loud, code it cleanly, then state worst-case complexity and how you'd handle duplicates. At Meta the signal is reaching optimal fast while keeping the code readable.

Tell me about the most significant project you've driven.

STAR with a bias toward impact and metrics. Situation: the problem and why it mattered. Task: your specific ownership. Action: the key technical calls and how you moved fast without breaking things. Result: a quantified outcome (latency, users, revenue) plus what you learned. Meta's Jedi round rewards measurable impact and initiative, so lead with the number.

What Meta looks for

Speed: reaching a working, optimal solution within tight 20-minute-per-problem windows
Clean, bug-free code on the first pass — you catch your own edge cases
Clear running commentary on tradeoffs and complexity, not silent coding
Demonstrated impact and ownership in behavioral stories, ideally quantified
Genuine product sense and a real reason for wanting Meta specifically
Red flag: freezing on the second problem, or needing heavy hints to start

FAQ

How many coding problems does Meta ask per round?

Usually two per 45-minute round, including the phone screen. That's roughly 20 minutes each, so practicing to solve mediums quickly and cleanly is the single highest-leverage prep.

Is Meta heavy on LeetCode?

Yes. Meta is one of the more LeetCode-forward big tech companies — mostly mediums, occasionally a hard. Grinding the Meta-tagged set on LeetCode is well worth it.

Do new grads get a system design round?

Sometimes a lighter one, but coding and behavioral carry the most weight for new grads. Senior loops lean much harder on system design.

What is the 'Jedi' round?

Meta's name for the behavioral interview. It probes impact, drive, conflict resolution, and how you handle ambiguity — bring sharp, metric-backed stories.

How long is the Meta SWE process?

Typically 4-6 weeks from recruiter screen to offer, though it varies with team-matching and scheduling.

Beat the Meta clock before you're on it

Two mediums in 45 minutes is a pace, not just a problem set. Rehearse the coding rounds out loud and run the Jedi behavioral with OfferLoop's realtime voice coach so the speed feels normal by interview day.

Practice this interview out loud →

All Meta interviews →Meta Data Analyst interview →Meta Data Scientist interview →Meta Data Engineer interview →Meta Machine Learning Engineer interview →

OfferLoop is an independent interview-practice tool and is not affiliated with, endorsed by, or sponsored by Meta. All company names and trademarks are the property of their respective owners.

Interview formats vary by team, level and year, and this guide is compiled from general knowledge of publicly discussed hiring processes — treat it as preparation material, not an official description of Meta's current process.