| Problem | Patterns | Difficulty | |
|---|---|---|---|
| 74. Search a 2D Matrix | Medium | ||
| 408. Valid Word Abbreviation | Easy | ||
| 1216. Valid Palindrome III | Hard | ||
| 1249. Minimum Remove to Make Valid Parentheses | Medium | ||
| 451. Sort Characters By Frequency | Medium | ||
| 3552. Grid Teleportation Traversal | Medium | ||
| 54. Spiral Matrix | Medium | ||
| 805. Split Array With Same Average | Hard | ||
| 227. Basic Calculator II | Medium | ||
| 489. Robot Room Cleaner | Hard | 
The interview process at Meta starts with a resume screen to assess qualifications and relevant experiences. Successful candidates are then invited to complete one or two Online Assessments (OAs), focusing on programming skills and problem-solving abilities. These steps gauge the contender's technical acumen before moving to the next phase.
Following the OAs, applicants go through one or two phone screens where they discuss past projects and solve technical problems in real-time. Candidates who excel in these rounds are invited to the onsite interviews, which consist of multiple rounds including coding, system design, and behavioral interviews. The difficulty level is generally considered high, challenging applicants with complex algorithm and design questions.
Meta's initial resume screening focuses on relevant technical skills and experience. This stage often leads to an Online Assessment (OA), testing coding and problem-solving abilities under time constraints.
Following the OA, candidates might receive a preliminary screening call. During this call, recruiters assess cultural fit and communication skills, usually within a week of the OA.
At Meta, the hiring process usually begins with a phone screen, typically one or two. These initial screenings mainly focus on assessing your coding skills and problem-solving abilities through technical questions that often involve writing code in real-time.
During these phone interviews, candidates are also asked about their previous projects and experiences to gauge their fit for the role and compatibility with Meta's culture. This stage is crucial as it sets the tone for subsequent interviews.
At Meta, the onsite rounds typically consist of four interviews, focusing on coding, system design, and behavioral aspects. Each session targets specific skills and lasts about 45 minutes, creating a comprehensive evaluation of the candidate's technical and interpersonal abilities.
The day is structured to include two coding interviews, one system design interview, and one behavioral interview. This setup provides a holistic view of the applicant’s capabilities, emphasizing problem-solving, scalability considerations, and cultural fit within the company’s ethos.
After completing all interview rounds at Meta, candidates may undergo team matching to find the best fit. Offers are then negotiated and, in some cases, finalized after meetings with executives.

When gearing up for a Meta software engineering interview, understanding the pattern distribution of coding problems can be quite illuminating. Analysis of LeetCode data reveals a strong emphasis on Depth-First Search, Breadth-First Search, and Two Pointers, highlighting a preference for problems that deal with complex tree and graph traversals and efficient array manipulation. Surprisingly, compared to other companies, Meta features fewer Dynamic Programming problems, which are generally common in tech interviews. This deviation suggests a more particular focus on ensuring candidates are well-versed in navigating through data structures effectively in real-time scenarios.
Meta evaluates candidates on their Core Values and ability to demonstrate impact through the STAR method (Situation, Task, Action, Result). Every interview stage includes behavioral questions, not just the dedicated "Jedi" behavioral round. Meta also evaluates five key behavioral signals: Resolving Conflict, Growing Continuously, Embracing Ambiguity, Driving Results, and Communicating Effectively.
"Why Meta?" / "Why do you want to switch jobs now?"
"Tell me about yourself"
1. Move Fast
What It Means: Prioritize speed and iteration over perfection. Ship quickly, learn from data, and iterate.
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2. Be Bold
What It Means: Take calculated risks, think big, and challenge the status quo. Don't be afraid to try unconventional approaches.
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3. Focus on Impact
What It Means: Prioritize work that drives the greatest value. Always connect your work to user/business impact.
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4. Be Open
What It Means: Share information freely, give and receive feedback, and be transparent. Build in the open and collaborate.
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5. Build Social Value
What It Means: Focus on building products that bring people together and create positive social impact.
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Beyond core values, Meta evaluates these specific behavioral competencies:
1. Resolving Conflict
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2. Growing Continuously
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3. Embracing Ambiguity
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4. Driving Results
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5. Communicating Effectively
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Prepare 10-12 STAR Stories
What Meta Looks For
Question Patterns at Meta
Common Follow-Ups
Red Flags to Avoid
Technical Preparation
Product Thinking
Mock Interviews