The recruitment flow moves from resume screening and a recruiter call, through a technical phone screen and a coding-focused onsite loop, to a Hiring Committee review and team matching.

An informal 15-30 minute phone or video call with a Meta recruiter covering your background, resume, and project experience. The recruiter explains the interview loop, role families, and location options, and assesses communication clarity and genuine interest in Meta. Recruiters do not ask technical or coding questions at this stage.

A 45-60 minute live coding interview conducted over video call using a shared coding environment, commonly CoderPad. Candidates solve one or two Data Structures & Algorithms problems, typically LeetCode Easy-Medium difficulty, and are expected to explain their approach out loud before writing code. Interviewers may add follow-up twists to the same base problem to test adaptability.

Candidates who clear the phone screen proceed to a virtual or in-person "onsite" loop consisting of 2-3 coding interviews, each 45-60 minutes, focused on core computer-science fundamentals.

Coding Loop Focus Areas

The coding rounds test fluency across the following areas, with clean, working code and correct edge-case handling expected throughout.

• Arrays, strings, hashing, and sliding-window techniques
• Linked lists, trees, and graph traversal (BFS/DFS)
• Recursion, dynamic programming, and optimization trade-offs
• Clean, working code with correct handling of edge cases

AI-Assisted Coding Round (New for 2026)

Meta began piloting an AI-enabled coding round in late 2025, and it is expected to become a standard onsite round for most software-engineering pipelines through 2026. It runs 45-60 minutes inside a specialised CoderPad-based environment with a built-in AI coding assistant.

Candidates may use the AI assistant to help write or refactor code, similar to real day-to-day engineering work at Meta, but must be able to read, verify, debug, and explain every line of the generated code. Interviewers probe whether the candidate can catch subtle bugs, question incorrect AI suggestions, and optimise the final solution. Evaluation focuses as much on judgment and verification skill as on raw coding speed.

For senior and staff-level candidates, and occasionally for strong E4 candidates, a 45-minute design round follows one of two tracks.

Design Tracks

• System Design - scalability, distributed systems, databases, caching, and performance trade-offs (for example, designing a URL shortener, a news-feed service, or a messaging system)
• Product Architecture - API design, client-server interaction, data modeling, and usability trade-offs for a product feature

Both tracks are evaluated on four criteria: problem navigation, solution design, technical excellence, and technical communication.

A structured 45-minute evaluation, more rigorous than a casual chat, built around Meta's six core values. Candidates answer using the STAR framework (Situation, Task, Action, Result), and interviewers probe for ownership, collaboration, direct communication, and long-term thinking. Follow-up questions test the consistency and depth of the examples provided.

All interview feedback is compiled into a candidate packet and reviewed independently by a Hiring Committee composed of senior engineers who were not part of the interview loop. This separation is designed to reduce bias, with the committee basing its hire / no-hire decision purely on written feedback and evidence. If feedback is split, an additional interview may be requested.

New-grad hires enter Bootcamp and complete team matching after 6-8 weeks, while experienced hires match to a team before or shortly after the offer. HR discusses compensation, location, start date, and visa/relocation logistics, and the formal offer letter is issued via the Meta Careers portal and email.