Meta

Meta (formerly Facebook) is a global leader in social media, virtual reality, and AI. Meta owns Facebook, Instagram, WhatsApp, and Oculus, and is pioneering the metaverse with cutting-edge technology. Meta India’s engineering teams work on products that impact billions, with a strong focus on innovation, scale, and impact. The company is known for its fast-paced, impact-driven culture and high technical bar.

Headquarters: Menlo Park, California, USA
Employees: 70,000+ globally

Industry: Social Media, VR, AI
Revenue: $134+ Billion USD (2023)

Meta Eligibility Criteria (India)

Academic Requirements

Academic Record: No strict cutoff; typically 7.0+ CGPA or 70% and above in 10th, 12th, and graduation, but strong coding skills matter most
Degree: B.Tech/B.E./M.Tech/MCA in CS, IT, ECE, or related fields
Year of Study: Final year students and recent graduates (within 1 year)
Backlogs: No active backlogs at the time of application

Branch Eligibility

Eligible Branches: CS, IT, ECE, EE, and related engineering streams
Programming Focus: Strong skills in Data Structures, Algorithms, and System Design
Experience: Freshers and up to 2 years experience (for E3/Software Engineer)

Additional Criteria

Coding Skills: Proficiency in at least one language (Python, C++, Java)
Gap Years: Maximum 1 year gap allowed
Course Type: Full-time degrees only
Nationality: Open to Indian and international students (for India roles)

Meta Placement Papers

Meta Placement Papers 2024

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Meta Placement Papers 2025

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Meta Placement Process (2025, India)

Application Timeline

Meta conducts both on-campus and off-campus drives, as well as hackathons and coding competitions (e.g., Meta Hacker Cup). Most hiring is through online assessments and virtual interviews. Referrals and internship conversions are also common.

Application Methods

Campus Recruitment

College Visits: Through placement cells at top engineering colleges
Direct Registration: Via college coordinators or Meta’s official campus drive announcements

Off-Campus Drives

Meta Careers Portal: Apply online for Software Engineer and other roles
Hackathons: Participate in Meta Hacker Cup and other coding contests

Referrals & Internships

Referrals: Internal referral program
Internship Conversion: PPOs for high-performing interns

Meta Interview Rounds (2025, India)

1. Resume & Recruiter Screen (20-30 min)

   • Behavioral screen: background, motivation, “Why Meta?”
   • Overview of process and next steps

2. Online Coding Assessment (OA) (60-90 min)

   • 3-4 coding questions (DSA, arrays, strings, trees, graphs)
   • No dynamic programming (DP) in most Meta OAs
   • All test cases must pass for shortlisting

3. Technical Phone Screen(s) (1-2 rounds, 45 min each)

   • 2 coding problems per round (arrays, strings, trees, graphs, hash maps)
   • Code in CoderPad (no auto-complete, no code execution)
   • Explain approach, clarify requirements, discuss time/space complexity

4. Virtual Onsite (Full Loop) (3-4 rounds, 45 min each)

   • 2 Coding Interviews: Medium-level DSA problems, focus on speed and correctness
   • 1 System/Product Design Interview: (E3: design basics; E4+: scalable systems)
   • 1 Behavioral Interview: Meta values, teamwork, conflict resolution, impact
   • Team Matching: (sometimes, for final offer)

5. HR/Offer Discussion

   • Compensation, benefits, joining date, and company fit

Timeline from Application to Offer

Typical Timeline

Total Duration: 2-4 weeks from application to offer letter (can be longer for off-campus)

Phase	Duration	Key Activities
Online Assessment	1 day	Coding, debugging
Technical Interviews	1-2 weeks	DSA, system/product design
Behavioral/Team Fit	2-3 days	Meta values, teamwork
HR Discussion	Same day	Offer, negotiation
Result Declaration	2-3 days	Offer letter, background check

Recent Meta Interview Questions (2024-2025)

Coding/DSA

Arrays & Strings

Longest Substring Without Repeating Characters

Given a string, find the length of the longest substring without repeating characters.

Example: “abcabcbb” -> 3 (abc)

Code:

def lengthOfLongestSubstring(s: str) -> int:
    char_map = {}
    max_length = 0
    start = 0
    for end in range(len(s)):
        if s[end] in char_map and char_map[s[end]] >= start:
            start = char_map[s[end]] + 1
        char_map[s[end]] = end
        max_length = max(max_length, end - start + 1)
    return max_length

Two Sum Variant

Given an array, return indices of two numbers that add up to a target (with negative numbers and duplicates).

Example: nums = [2, 7, 11, 15], target = 9 -> [0, 1]

Code:

def twoSum(nums: List[int], target: int) -> List[int]:
    num_map = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in num_map:
            return [num_map[complement], i]
        num_map[num] = i
    return []

Group Anagrams

Group a list of strings into anagrams.

Example: [“eat”, “tea”, “tan”, “ate”, “nat”, “bat”] -> [[“eat”, “tea”, “ate”], [“tan”, “nat”], [“bat”]]

Code:

def groupAnagrams(strs: List[str]) -> List[List[str]]:
    anagrams = {}
    for s in strs:
        sorted_s = ''.join(sorted(s))
        if sorted_s in anagrams:
            anagrams[sorted_s].append(s)
        else:
            anagrams[sorted_s] = [s]
    return list(anagrams.values())

Trees & Graphs

Detect Cycle in Directed Graph

Given a directed graph, detect if there is a cycle.

Example:

A -> B -> C -> A (cycle)
A -> B -> C (no cycle)

Code:

def isCyclic(V, adj):
    visited = [False] * V
    recStack = [False] * V

    for node in range(V):
        if not visited[node]:
            if dfs(node, visited, recStack, adj):
                return True
    return False

def dfs(node, visited, recStack, adj):
    visited[node] = True
    recStack[node] = True

    for neighbor in adj[node]:
        if not visited[neighbor]:
            if dfs(neighbor, visited, recStack, adj):
                return True
        elif recStack[neighbor]:
            return True
    recStack[node] = False
    return False

Lowest Common Ancestor

Find LCA in a binary tree.

Example:

LCA of 4 and 5 is 2.
LCA of 4 and 6 is 1.
LCA of 3 and 4 is 1.

Code:

def lowestCommonAncestor(root, p, q):
    if not root or root == p or root == q:
        return root

    left = lowestCommonAncestor(root.left, p, q)
    right = lowestCommonAncestor(root.right, p, q)

    if left and right:
        return root
    return left if left else right

Clone Graph

Return a deep copy of a graph.

Example:

Input: adjList = [[2,4],[1,3],[2,4],[1,3]]
Output: [[2,4],[1,3],[2,4],[1,3]]

Code:

def cloneGraph(node):
    if not node:
        return None

    visited = {}
    def dfs(original_node):
        if original_node in visited:
            return visited[original_node]

        new_node = Node(original_node.val)
        visited[original_node] = new_node

        for neighbor in original_node.neighbors:
            new_node.neighbors.append(dfs(neighbor))
        return new_node

    return dfs(node)

System/Product Design

Design a News Feed System

Data modeling, feed ranking, scalability.

Example:

News Feed:
User A: Post 1, Post 2, Post 3
User B: Post 4, Post 5
User C: Post 6

Code:

class NewsFeed:
    def __init__(self):
        self.posts = []
        self.user_posts = {}

    def create_post(self, user_id, post_id, content):
        if user_id not in self.user_posts:
            self.user_posts[user_id] = []
        self.user_posts[user_id].append((post_id, content))
        self.posts.append((post_id, user_id, content))
        self.posts.sort(key=lambda x: x[0]) # Sort by post_id

    def get_news_feed(self, user_id):
        user_post_ids = [p[0] for p in self.user_posts[user_id]]
        all_post_ids = [p[0] for p in self.posts]
        combined_ids = list(set(user_post_ids + all_post_ids))
        combined_ids.sort(reverse=True)

        feed = []
        for post_id in combined_ids:
            for post in self.posts:
                if post[0] == post_id:
                    feed.append(post)
                    break
        return feed[:10] # Return top 10 posts

Design Messenger

Message delivery, real-time updates, storage.

Example:

User A sends "Hello" to User B.
User B receives "Hello".
User A sends "Hi" to User B.
User B receives "Hi".

Code:

class Messenger:
    def __init__(self):
        self.messages = {}
        self.users = {}

    def register_user(self, user_id):
        if user_id not in self.users:
            self.users[user_id] = []

    def send_message(self, sender_id, receiver_id, message):
        if sender_id not in self.users:
            self.register_user(sender_id)
        if receiver_id not in self.users:
            self.register_user(receiver_id)

        self.messages[(sender_id, receiver_id)] = message
        self.users[receiver_id].append((sender_id, message))

    def get_messages(self, user_id):
        if user_id not in self.users:
            return []
        return self.users[user_id]

Design Instagram Stories

Handling uploads, expiration, and notifications.

Example:

User A uploads a story.
User B sees User A's story.
User A's story expires after 24 hours.
User B sees User A's new story.

Code:

class InstagramStories:
    def __init__(self):
        self.stories = {}
        self.users = {}

    def upload_story(self, user_id, story_id, content):
        if user_id not in self.users:
            self.users[user_id] = []
        self.stories[story_id] = (user_id, content, time.time() + 24*60*60) # 24 hours expiration
        self.users[user_id].append(story_id)

    def get_stories(self, user_id):
        if user_id not in self.users:
            return []
        current_time = time.time()
        return [story_id for story_id in self.users[user_id] if self.stories[story_id][2] > current_time]

Practice More Meta Interview Questions →

Behavioral (Meta Values)

Move Fast

Describe a time you delivered a project under tight deadlines. How did you prioritize and execute?

Focus on Impact

Give an example of a project where your work made a measurable difference.

Be Bold

Share an example of taking a risk or trying something new. What did you learn?

Build Awesome Things

Tell me about a time you built or improved a product or feature from scratch.

HR/Managerial

• Why Meta? (Focus on innovation, scale, and impact)
• Are you willing to relocate? (Meta has offices in multiple Indian cities)
• How do you handle failure or negative feedback?

Preparation Strategy (Meta-Specific)

What Meta Looks For

Meta emphasizes DSA, coding speed, system/product design, and deep alignment with company values. Every round tests both technical and behavioral skills. Communication, clarity of thought, and impact-driven answers are key.

DSA Mastery

Priority: Critical
Time Allocation: 50%

• Practice LeetCode (Meta tag), HackerRank, CodeSignal
• Focus on arrays, strings, trees, graphs, hash maps
• Solve 100+ coding problems, simulate 2-problem/45-min rounds

System/Product Design

Priority: High
Time Allocation: 20%

• Learn basics of system and product design (E3: design basics, E4+: scalable systems)
• Practice design questions: news feed, messenger, Instagram stories

Meta Values & Behavioral

Priority: High
Time Allocation: 20%

• Prepare STAR stories for each value (Move Fast, Focus on Impact, Be Bold, Build Awesome Things)
• Practice mock behavioral interviews

Aptitude & Communication

Priority: Medium
Time Allocation: 10%

• Practice logical reasoning and English communication

3-Month Study Plan

3 Months Before

• Master DSA fundamentals (esp. arrays, strings, trees, graphs)
• Practice 2-3 coding problems daily
• Study Meta company values and draft STAR stories
• Build 1-2 small projects (for resume and interview discussion)

1 Month Before

• Take mock OAs and interviews (timed, 2 problems/45 min)
• Review system/product design basics
• Refine STAR stories with feedback
• Revise core CS concepts (OS, DBMS, Networking)

1 Week Before

• Revise common coding patterns and Meta-specific questions
• Practice behavioral questions aloud
• Rest, sleep well, and stay confident

Meta Values (What They Mean for Candidates)

Meta’s core values are central to every interview. You must:

• Know all values and have 1-2 STAR stories for each
• Expect follow-up questions that probe for depth, learning, and impact
• Demonstrate “Move Fast”, “Focus on Impact”, “Be Bold”, and “Build Awesome Things” in both technical and behavioral answers

Pro Tip

Every interviewer is a gatekeeper for Meta values. Even technical rounds will include behavioral questions.

Compensation & Benefits (India, 2025)

Salary Ranges 2025-2026

All figures represent total annual compensation (base, bonus, RSUs, and benefits). Numbers are in INR.

Software Engineer Roles

Level	Experience	Base Salary	Total Package	Typical Background
E3 (Software Engineer)	New Grad	₹38-48 LPA	₹50-65 LPA	Fresh graduates, top colleges
E4 (SWE 2)	2-5 years	₹60-75 LPA	₹80-100 LPA	2-5 years experience
E5 (Senior SWE)	5-8 years	₹90-130 LPA	₹1.2-1.7 Cr	Senior developers
E6+	8+ years	₹1.7 Cr+	₹2.2 Cr+	Architects, tech leads

Other Popular Roles

Role	Level	Total Package	Requirements
Production Engineer	Entry	₹38-55 LPA	Strong CS fundamentals
QA Engineer	Entry-Mid	₹28-45 LPA	Testing, automation
Product Manager	Mid-Senior	₹65-95 LPA	Product sense, tech background
Data Scientist	Mid	₹55-85 LPA	ML, analytics

Benefits & Perks

• Flexible Working: Hybrid/remote options
• Health Insurance: Comprehensive coverage
• Stock Grants: RSUs for engineers and above
• Learning & Development: Internal training, certifications
• Work-Life Balance: Employee assistance, wellness programs
• Career Growth: Fast-track promotions, global mobility

Recent Updates & Trends (2025)

Hiring Trends 2025

Increased Virtual Hiring: More online assessments and interviews System/Product Design Emphasis: More focus in interviews Diversity Hiring: Special drives for women and underrepresented groups

Process Changes

Online Assessments: More debugging and scenario-based questions Values/Behavioral Round: Mandatory for all SWE hires Faster Offers: Reduced time from interview to offer

New Initiatives

Meta Hacker Cup: Coding competition for hiring Student Programs: Internships, Meta University Internal Referrals: Strong employee referral program

Company Growth

Metaverse Expansion: More AR/VR roles in India Product Innovation: Instagram, WhatsApp, Oculus Global Mobility: Opportunities to work abroad

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Ready to start your Meta preparation? Focus on DSA (especially arrays, strings, trees, graphs), system/product design basics, and Meta values. Practice mock interviews and build strong STAR stories for every value.

Pro Tip: Consistent practice on LeetCode (Meta tag) and HackerRank is key. Understand Meta’s values and be ready to demonstrate them in behavioral rounds. Every answer should show impact, learning, and boldness.