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Meta Placement Guide

Social Media, Advertising & AI · Menlo Park, USA (India: Hyderabad, Bengaluru, Gurugram) · ~70,000 employees · Founded 2004

Meta operates the world’s largest social platforms — Facebook, Instagram and WhatsApp — monetised through advertising, with major bets on AI and the metaverse (Reality Labs). It hires elite SDE and ML talent.

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Business Model

Unmatched social reach and ad targeting, now powered by AI, with a long-term bet on AR/VR computing.

Revenue streams

Key products

Customers

Salary & Roles

₹25 – 60+ LPA total comp for SWE/ML roles

Roles typically hiring for

Eligibility criteria

Typically 7.0+ CGPA, strong DSA/problem-solving. CS or allied branches preferred for SDE; open branches for analyst roles. Internship conversions common.

Hiring timeline

On-campus Aug–Oct for finals; summer internship hiring Jul–Sep for pre-finals. Offer to joining: 6–11 months.

Skills to prepare

Strong DSA (trees, graphs, DP)System design basicsOne strong languageProblem-solving under time pressureCS fundamentals (OS, DBMS, OOP)Behavioral / leadership stories

SWOT Analysis

Strengths

  • Massive global user base
  • Dominant social advertising
  • Strong AI research (Llama)
  • High margins & cash

Weaknesses

  • Ad-revenue concentration
  • Reality Labs losses
  • Regulatory & privacy scrutiny
  • Platform-dependence risk

Opportunities

  • AI-driven ad efficiency
  • Business messaging (WhatsApp)
  • Open AI models (Llama)
  • Reels & creator economy

Threats

  • Regulation & antitrust
  • Privacy changes (ATT)
  • Competition (TikTok, YouTube)
  • Metaverse-bet uncertainty

Competitors

Google Ads rival

Search + YouTube ads.

TikTok Social rival

Short-video attention.

Amazon Ads rival

Retail-media ads.

Snap/X Social rivals

Niche social platforms.

Industry Intelligence

Digital advertising is being reshaped by AI and short video; Meta uses AI to boost ad performance while investing heavily in AR/VR and open models.

Key trends

Outlook

AI-driven ad growth and messaging monetisation drive the core; Reality Labs and regulation are the swing factors.

3B+
Daily users
Across apps
Dominant
Ad business
Social ads
Leading open
AI (Llama)
Open models
High
Margins
Ad economics

Interview Process

Stage-by-stage, with tips and sample questions

1

Online Assessment

Timed coding test on a platform (HackerRank/Codility) with 2–3 DSA problems and sometimes MCQs on CS fundamentals.

Tips
  • Solve 150–250 LeetCode problems (easy→medium→hard)
  • Master arrays, strings, trees, graphs, DP
  • Dry-run edge cases before submitting
Sample questions
  • Two-pointer / sliding-window array problem
  • Tree traversal / lowest common ancestor
  • Dynamic programming (knapsack/LIS variant)
  • MCQs on time complexity & OS
2

Technical Round (DSA)

Live coding with an engineer. You explain your approach, optimise complexity, and write working code.

Tips
  • Think out loud — communication is scored
  • State brute force, then optimise
  • Discuss time & space complexity explicitly
Sample questions
  • Design an LRU cache
  • Detect a cycle in a linked list
  • Number of islands (BFS/DFS)
  • Find median of two sorted arrays
3

System / Design Round

For some roles: high-level design or low-level design (machine-coding) to test scalability and OOP modelling.

Tips
  • Learn fundamentals: load balancing, caching, sharding, queues
  • Clarify requirements before designing
  • Discuss trade-offs, not just one answer
Sample questions
  • Design a URL shortener
  • Design a rate limiter
  • Low-level design of a parking lot
  • How would you scale a notification system?
4

Behavioral / Bar-Raiser Round

Values and leadership-principles based. Uses your past experiences to predict how you work.

Tips
  • Prepare 6–8 STAR stories (Situation-Task-Action-Result)
  • Map stories to the company’s leadership principles
  • Show ownership, data-driven decisions, and impact
Sample questions
  • Tell me about a time you disagreed with a teammate.
  • Describe your most challenging project.
  • A time you took ownership beyond your role.
  • How do you prioritise when everything is urgent?

Frequently Asked Questions

Walk me through your resume.

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Why this company over its competitors?

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What are your salary expectations?

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How does a hash map work internally?

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Explain process vs thread.

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Design a system to handle 1M requests/sec.

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Estimate the number of delivery vans needed in Bengaluru.

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How would you reduce checkout abandonment on our app?

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