Meta (Facebook) Interview Questions: Complete Prep Guide (2026)

Meta's interview process is rigorous, fast-paced, and well-structured. Whether you're interviewing for software engineering, product management, or data science, this guide covers what to expect and how to prepare.

The Meta Interview Process

Stage 1: Recruiter Screen (20-30 minutes)

A brief call to discuss your background, interest in Meta, and logistics. The recruiter will also explain the process and timeline.

Stage 2: Technical Phone Screen (45 minutes)

One coding interview via CoderPad (an online coding environment with syntax highlighting). You'll solve 1-2 problems while sharing your screen.

Key difference from Google: Meta uses a real coding environment, not a Google Doc. Your code should run.

Stage 3: Onsite (Virtual Loop) — 4-5 Rounds

2 Coding Interviews (45 min each): Algorithm and data structure problems
1 System Design Interview (45 min): For E5+ (senior and above)
1 Behavioral Interview (45 min): Meta-specific values and leadership
Sometimes: 1 Additional Coding or Design Round

Stage 4: Debrief and Decision

Unlike Google's committee process, Meta's hiring decision is typically made by the hiring manager with input from interviewers. Decisions come faster — often within a week.

Meta's Coding Interviews

Meta coding interviews are known for being fast-paced. You're expected to solve two medium-difficulty problems in 45 minutes, which means you need to code quickly and correctly.

Most-Tested Topics at Meta

Arrays and Strings: Manipulation, searching, two pointers
Trees and Graphs: BFS/DFS, binary trees, graph traversal
Hash Maps and Sets: Frequency maps, deduplication
Dynamic Programming: 1D and 2D DP, common patterns
Linked Lists: Reversal, merge, cycle detection
Stacks and Queues: Monotonic stacks, BFS with queues
Binary Search: On sorted arrays and on answer spaces
Recursion: Tree problems, backtracking

Sample Questions (Real Meta-Style)

Round 1 (Warm-up + Medium):

Valid Palindrome II (can you make it a palindrome by removing at most one character?)
Merge Intervals (given a list of intervals, merge overlapping ones)
Lowest Common Ancestor of a Binary Tree
Buildings with an Ocean View (which buildings can see the ocean?)

Round 2 (Medium + Medium-Hard):

Random Pick with Weight (weighted random selection)
Minimum Remove to Make Valid Parentheses
Binary Tree Vertical Order Traversal
Accounts Merge (union-find or DFS on connected components)
Shortest Path in a Grid with Obstacles Elimination

Meta-Specific Coding Tips

Speed matters. Two problems in 45 minutes means ~20 minutes per problem, including discussion. Practice solving mediums in 15-20 minutes.
Start with the optimal approach. At Google you might talk through brute force first; at Meta, move to the efficient solution faster. You don't always have time for the scenic route.
Code must work. Meta uses CoderPad — your code runs against test cases. Syntax errors and bugs cost you time.
Use Python. Most Meta candidates use Python for its brevity. If you're comfortable with it, it's a significant time advantage over Java or C++.
Communicate, but don't over-explain. Think out loud, but keep it concise. You need your time for coding.

System Design (E5+)

Meta's system design interviews focus on building products at Facebook/Instagram/WhatsApp scale — billions of users, massive data volumes, real-time requirements.

Sample Questions

Design the Facebook News Feed.
Design Instagram Stories.
Design Facebook Messenger.
Design a live video streaming system (Facebook Live).
Design the Facebook search typeahead (autocomplete).
Design a photo storage and serving system at Facebook scale.
Design a rate limiter for Facebook's API.
Design WhatsApp's message delivery system.

What Meta Evaluates

Scale awareness: Can you design for 3+ billion users?
Product intuition: Do you understand the user experience implications of your technical decisions?
Practical trade-offs: SQL vs. NoSQL, push vs. pull, consistency vs. availability
Depth: Can you go deep on caching, data partitioning, or message queuing when probed?

Meta System Design Framework

Clarify requirements (3-5 min)
- Functional: What features does this system need?
- Non-functional: Latency, availability, consistency requirements
- Scale: How many users? How much data? Read-heavy or write-heavy?
High-level design (10 min)
- Components: API gateway, application servers, databases, caches, queues
- API design: Key endpoints, request/response format
- Data model: Core entities and relationships
Deep dive (20 min)
- Pick 2-3 components the interviewer is most interested in
- Database choices and sharding strategy
- Caching layers (CDN, application cache, database cache)
- Message delivery guarantees
- Feed ranking algorithm (if applicable)
Bottlenecks and improvements (5-10 min)
- How to handle viral content / hot partitions
- Monitoring and alerting
- Graceful degradation

Meta's Behavioral Interview

Meta's behavioral interview is centered around their core values. Unlike Google's broader "Googleyness" round, Meta's questions map directly to specific values they evaluate.

Meta's Core Values (What They Evaluate)

Move Fast: Bias toward shipping. Can you make decisions with incomplete information?
Be Bold: Are you willing to take big swings and challenge the status quo?
Focus on Long-Term Impact: Do you think beyond the immediate task?
Build Social Value: Do you care about the user and broader impact?
Be Open: Can you give and receive honest feedback?
Meta-specific for engineers: Build awesome things. Do you take pride in craft?

Common Meta Behavioral Questions

Move Fast:

"Tell me about a time you had to make a quick decision without all the information you wanted."
"Describe a project where you shipped something faster than expected. How?"
"Tell me about a time you cut scope to meet a deadline. How did you decide what to cut?"

Be Bold:

"Tell me about a time you proposed something unconventional that others initially disagreed with."
"Describe a big risk you took in your career. What happened?"
"Give an example of when you challenged the way things were done."

Focus on Long-Term Impact:

"Tell me about a project where you had to balance short-term delivery with long-term architecture."
"Describe a decision you made that paid off months later."
"How do you prioritize between quick wins and foundational work?"

Collaboration and Feedback:

"Tell me about a conflict with a coworker. How did you resolve it?"
"Describe a time you received tough feedback. What did you do with it?"
"Give an example of when you helped someone on your team grow."

How to Prepare Behavioral Stories for Meta

Prepare 8-10 stories that collectively cover:

A time you shipped something fast
A time you took a bold risk
A time you failed and learned
A time you disagreed with someone senior
A time you helped a teammate
A time you dealt with ambiguity
A time you made a trade-off between speed and quality
A time you influenced without authority

Each story should follow the STAR format and be 2-3 minutes when told aloud.

Level Expectations at Meta

E3 (Entry Level / New Grad)

Strong coding fundamentals
Can solve medium LeetCode problems cleanly
Shows learning agility and coachability
No system design expected

E4 (Mid-Level)

Solves coding problems quickly and optimally
Shows independent ownership of features
Behavioral stories show initiative and collaboration
No system design expected (sometimes light product design)

E5 (Senior)

Excellent coding speed and accuracy
Strong system design — can architect complete systems
Behavioral stories show leadership, mentorship, cross-team impact
This is where most experienced hires land

E6+ (Staff and Above)

System design at massive scale with deep trade-off analysis
Behavioral stories show organizational impact, technical vision
Expected to demonstrate influence beyond your immediate team

Study Plan: 4 Weeks

Week 1: Coding Foundations

Solve 40 LeetCode problems focused on Meta's top topics
Emphasis on arrays, strings, trees, and hash maps
Practice solving mediums in under 20 minutes

Week 2: Coding Advanced + Speed

Solve 30 more problems: DP, graphs, binary search
Do timed sessions: 2 problems in 45 minutes
Start reviewing Meta-tagged problems on LeetCode

Week 3: System Design + Behavioral

Study 4-5 system design problems end-to-end
Read about Meta's infrastructure (their engineering blog is excellent)
Write out 8-10 STAR-format behavioral stories

Week 4: Mock Interviews

Do at least 2 full mock coding interviews (timed, 45 min, 2 problems)
Do 1 mock system design interview
Practice behavioral stories out loud until they're natural

Meta-Specific Tips

Meta's engineering blog is a goldmine. Read about their TAO data store, News Feed architecture, and infrastructure decisions. Referencing these in system design shows genuine interest.
The hiring bar is high but fair. Meta interviewers are calibrated — they know what "good" looks like for each level.
Team matching happens before the offer at Meta (unlike Google). You may interview with a specific team in mind, which means you can tailor your behavioral stories.
Meta moves fast in the process too. Expect 2-3 weeks from phone screen to offer. Be ready.
Negotiation is expected. Meta's initial offer is rarely their best. If you have competing offers, share them.

Want to practice Meta interview questions? Reherse generates company-specific questions and gives real-time voice feedback on your answers. Start practicing →

The Bottom Line

Meta interviews reward speed, clarity, and conviction. Code fast, design for scale, and tell stories that show you move quickly and build things that matter.

The biggest mistake candidates make is under-preparing on speed. You can know every algorithm, but if you can't code two clean solutions in 45 minutes, you'll run out of time. Practice under time pressure. That's where the edge is.