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Meta Platforms interview questions

From 93 candidate accounts, updated Oct 12, 2026

Candidate accounts
93
Rounds on average
1.8
Fewest and most rounds
1 to 6
Open roles at Meta Platforms
1,275

How the loop works

Meta runs a highly standardized loop that barely varies by office or level: a recruiter call, one timeboxed technical screen, then a 'full loop' of roughly four 45-minute rounds. For software engineers that loop is two coding rounds (two problems each, medium difficulty, solved fast in a non-executing CoderPad), one design round where candidates pick either Product Architecture or System Design, and one behavioral round mapped to Meta's own values. Non-SWE tracks keep the same skeleton but swap the middle: data engineers get combined 'full stack' rounds mixing product sense, data modeling, SQL and Python. Production engineers get Linux internals and a troubleshooting scenario. Research scientists get three coding rounds plus systems design. UX researchers get a hypothetical research-plan case. Downlevelling and follow-up rounds are common, and offers are followed by a separate team-matching stage that can add weeks or months.

These 93 writeups cover data, software engineering, production engineering and other roles. 83 of them were posted under a forum handle, so we could not verify the authors’ identities.

See open roles at Meta Platforms

Interview experiences at Meta Platforms

60 of 93 shown

Software Engineer, London

Received an offer

Experienced. 6 rounds. Shared by Lav Joshi on blog, 2026-03-03

  1. 1Recruiter callPhone screenNon-technical conversation about current project, scope of responsibilities, years of experience and motivation for moving.Covered: Resume deep-dive
  2. 2Technical phone screenPhone screen45 minutes, two problems in the medium-to-hard band, described as a hard elimination gate.Covered: Data structures & algorithms
  3. 3Coding (x2)TechnicalTwo onsite rounds identical in shape to the screen, 45 minutes and two problems each, so four algorithm problems in total across the loop.Covered: Data structures & algorithms
  4. 4High-level designSystem designDesign a consumer product at scale, working through components, storage choices, APIs and trade-offs.Covered: System design, Scalability, API design, DBMS
  5. 5BehavioralBehavioralWork history, projects and situational questions drawn from past experience.Covered: Behavioral, Past projects, STAR stories
  6. 6Team matchHiring managerA conversation with a hiring manager after the loop about the team's work and the scope of the role, explicitly not scored as an interview.Covered: Past projects

Software Engineer (E5)

Received an offer

Experienced. 6 rounds. Shared by Mukul Sharma on blog, 2025-06-14

  1. 1Coding screenPhone screenA 45-minute screen with two problems. The author lost most of the time to nerves on an easy linked-list question, then recovered and finished a shortest-path style graph question inside the remaining minutes. Passed, but the recruiter relayed that it was not a strong-hire signal.Covered: Linked lists, Graphs, Data structures & algorithms
  2. 2CodingTechnicalTwo problems in 45 minutes: a string-manipulation question with hidden edge cases, then an array/hash-map pattern the author recognised but explained poorly, leaving the interviewer unconvinced by the approach.Covered: Arrays & strings, Hashing
  3. 3CodingTechnicalA smoother round with a queue-based problem followed by a familiar binary-tree pattern, both completed with time to spare.Covered: Queues, Trees
  4. 4Product ArchitectureSystem designDesign a feature for the Facebook app. Meta lets the candidate choose Product Architecture or System Design. The author picked Product Architecture as a backend engineer, drove requirements then API specs and core entities, and spent the back half on deep dives into scaling and consistency.Covered: System design, API design, Scalability
  5. 5BehavioralBehavioralSituational questions where the interviewer repeatedly drilled into specifics of past projects, apparently to test that the claimed work was genuinely the candidate's.Covered: Behavioral, STAR stories, Past projects
  6. 6Follow-up codingTechnicalBecause one coding round graded poorly, the hiring committee ordered an extra coding interview rather than rejecting. Two problems: a binary-tree traversal variant and a string problem needing a stack, both completed.Covered: Trees, Graphs, Arrays & strings

What Meta Platforms is hiring for now

1,275 open roles in our index. Advertised pay floors run $138k to $184k (median $162k, from 864 postings that state pay).

Most-posted roles

  • Network Engineer, Deployment & Support8
  • Executive Administrative Partner8
  • Software Engineer (Technical Leadership)6
  • ASIC Engineer, Design5
  • Data Scientist, Product Analytics5
  • Community Engagement Manager5

Top locations

  • Menlo Park364
  • Sunnyvale148
  • Bellevue102
  • Redmond59
  • Austin56

Open roles at Meta Platforms

See all 1,275 roles

Meta Platforms interviews: FAQ

What is the interview process like at Meta Platforms?
Meta runs a highly standardized loop that barely varies by office or level: a recruiter call, one timeboxed technical screen, then a 'full loop' of roughly four 45-minute rounds. For software engineers that loop is two coding rounds (two problems each, medium difficulty, solved fast in a non-executing CoderPad), one design round where candidates pick either Product Architecture or System Design, and one behavioral round mapped to Meta's own values. Non-SWE tracks keep the same skeleton but swap the middle: data engineers get combined 'full stack' rounds mixing product sense, data modeling, SQL and Python. Production engineers get Linux internals and a troubleshooting scenario. Research scientists get three coding rounds plus systems design. UX researchers get a hypothetical research-plan case. Downlevelling and follow-up rounds are common, and offers are followed by a separate team-matching stage that can add weeks or months.
What topics does Meta Platforms test in interviews?
Commonly reported topics include Algorithms, Coding, Whiteboard coding, JavaScript, LeetCode-style problems, Optimization.

These guides summarize public, first-hand interview experiences shared by candidates. They describe the shape of each loop and the topics that came up, not a leaked question bank, and every experience links back to its original source. Processes change often. Treat this as directional prep, not a script.