Meta

What the sources establish

The main evidence is a Meta-authored software engineer full-loop guide that is only available as an undated PDF on a third-party host. It describes coding, design (systems or product architecture) and behavioral interviews, gives 4 to 6 conversations of about 45 minutes, and states that its coding interviews do not ask dynamic programming. A CoderPad blog post from October 2025 reports a Meta pilot of AI-enabled coding interviews with code execution. Not established: whether the mirrored guide is current, which candidates are placed in the AI-enabled pilot, the format of any technical screen, level-specific expectations, and variants for ML, infrastructure or production-engineering roles.

1. Software Engineer Full Loop Interview Guide (Meta-authored PDF, third-party mirror)

   Official document, mirrored

   Meta (document author); hosted on a third-party CloudFront domain. Undated document; the mirrored PDF file’s metadata shows it was created 2024-07-31; read 2026-10-05. Read in full for this page.

   Scope: Software Engineer candidates at the full-loop stage; no level, team or role-family distinctions are made

   Documented by this source

   • Full loop of 4 to 6 conversations of about 45 minutes each, covering coding, design and behavioral interviews; the recruiter confirms the exact number and focus
   • Coding interview assessed on four areas: communication, problem solving, coding and verification; expect about two problems in roughly 40 minutes, and the interviewer does not compile your code
   • Language is the candidate’s choice and should be confirmed with the recruiter; the guide notes scripting languages tend to be easier but advises staying with a familiar language
   • States that dynamic programming questions are not asked and advises not spending preparation time on that technique; recommends breadth across data structures (arrays, stacks and queues, hash tables, trees including binary trees and BSTs, graphs, heaps) and techniques such as iteration, sorting, recursion and divide and conquer
   • Advises practicing code without executing it, in a plain text editor without compiler, linter, syntax highlighting or autocomplete, while talking through the problem
   • Design interview (45 minutes) is either Systems Design (distributed systems, scalability, performance, efficiency) or Product Architectural Design (API design, usability, utility), depending on the position; assessed on problem navigation, solution design, technical excellence and technical communication
   • System design discussion areas listed: testability, usability, extensibility, security, portability, availability, scalability and operational characteristics; product design areas include storage data models, data ownership, protocols, data formats and client-server design
   • Behavioral interview (45 minutes) assesses five signals: resolving conflict, growing continuously, embracing ambiguity, driving results and communicating effectively; advises outlining 2 to 3 major projects and using STAR with concrete examples
   • Remote candidates are told to practice with the interviewing tools Excalidraw and CoderPad beforehand; the recruiter says whether the loop is by video or in person

   Outside or AI tools, according to this source: Does not mention AI tools. It says the interviewer will not compile your code, advises practicing in a plain text editor with no compiler, linter, syntax highlighting or autocomplete, and names CoderPad and Excalidraw as tools to practice with for remote interviews. Follow the instructions in your own assessment invitation.

   • Hosted by a third party rather than on a Meta domain, and carries no publication date, so it may describe an earlier version of the loop.
   • The dynamic programming statement is this guide’s statement about its own coding format; confirm it still applies to your loop. It says nothing about other companies, and DP stays in the general curriculum.
   • Does not cover the initial technical screen, level-specific expectations, or ML, infrastructure and production-engineering variants.
   • Its no-execution, plain-editor advice may not match candidates placed in the AI-enabled coding pilot described in the CoderPad post.
   Open source(opens in a new tab)Link responded, 5 Oct 2026

2. AI in the interview isn’t cheating—it’s the job. Just ask Meta. (CoderPad blog)

   Platform partner account

   CoderPad (interview-platform vendor). Published 2025-10-30 (page metadata shows a later edit on 2026-09-29); read 2026-10-05. Read in full for this page.

   Scope: A Meta pilot program of AI-enabled coding interviews run on CoderPad; roles, levels and locations are not specified

   Documented by this source

   • Reports that Meta is piloting AI-enabled coding interviews in which candidates have the AI coding assistants they would use on the job inside CoderPad
   • Quotes Meta engineers saying the format lets candidates execute their code, work on more practical problems, and use AI to brainstorm and iterate
   • Frames the pilot as a way to see how candidates debug, iterate and explore solutions rather than testing memorization
   • Refers readers to Meta’s own LinkedIn announcement of the pilot (not read for this entry)

   Outside or AI tools, according to this source: Describes AI assistance as part of the pilot format only. It does not say which candidates are placed in the pilot, which AI tools are available, or what rules govern their use. Follow the instructions in your own assessment invitation.

   • A vendor marketing post about a partner’s program; it is not a Meta policy document and not a universal rule.
   • Describes a pilot as of late 2025; whether it continues or has expanded is not established.
   • Very short; it gives no format details such as duration, problem types or evaluation criteria.
   Open source(opens in a new tab)Link responded, 5 Oct 2026

Our preparation recommendation

Our recommendation, not Meta guidance: weight preparation toward the categories the mirrored guide documents. For coding, cover the data structures it names broadly rather than one family deeply, practice solving two problems in about 40 minutes without running code, and verify by hand. Because that guide says its coding format excludes dynamic programming, this page does not add DP topics; confirm with your recruiter, and keep DP in your plan if other target companies need it. Prepare whichever design variant your recruiter names, and build behavioral stories around the guide’s five signals.

1. Arrays, strings and hashingNot started

   Arrays and hash tables are among the data structures the guide names, and they are building blocks for many coding problems.

2. Stacks, queues and dequesNot started

   Stacks and queues are in the guide’s list of data structures to review.

3. Trees and binary search treesNot started

   The guide names trees, binary trees and binary search trees explicitly.

4. Graph traversal: BFS, DFS and componentsNot started

   Graphs are named in the guide; traversal is the foundation for graph problems.

5. Heaps, selection and streamingNot started

   Heaps are in the guide’s data-structure list.

6. Correctness, invariants, edge cases and testingNot started

   The verification area asks you to choose test cases, find your own bugs and argue correctness without a compiler.

7. Mock interviews and timed practiceNot started

   Timed practice of about two problems in 40 minutes in a plain editor matches the format the guide describes.

8. System design methodNot started

   Needed if your design interview is the Systems Design variant (distributed systems, scalability, performance).

9. API contracts and compatibilityNot started

   Needed if your design interview is the Product Architectural Design variant, which centers on API design.

10. Behavioral stories and values-based questionsNot started

    The behavioral interview assesses five named signals; prepare STAR stories and 2 to 3 projects in depth.

Confirm with your recruiter

• Whether your loop still follows the Software Engineer full-loop guide: number of interviews (the guide says 4 to 6), their types and lengths, and whether a technical screen comes first.
• Whether the coding interviews still exclude dynamic programming, as that guide states.
• Whether your design interview is Systems Design or Product Architectural Design, and which level the loop is calibrated for.
• Which programming languages you may use, and whether the coding environment can run code.
• Whether you are in the AI-enabled coding format: which AI tools are available, whether code execution is allowed and how AI use is evaluated. If you are not, follow your written interview instructions and ask before using any AI tool.
• Whether any online assessment or take-home precedes the loop, with its time limit and allowed resources.
• Logistics: video or in person, CoderPad and Excalidraw setup, and accommodations.

Limitations of this page

• Built from one undated Meta-authored guide on a third-party host and one vendor blog post; no live Meta careers page was read for this entry (the metacareers.com prep URLs tried returned error pages).
• Covers the general Software Engineer loop only; ML, infrastructure, production-engineering, research and management loops may differ.
• The AI-enabled pilot is reported only by the platform vendor; its scope and current status are unknown.