Meta Interview Process 2026: Coding, AI Round, and Design

The Meta technical interview process in 2026 has a recruiter screen, a 45-minute technical screen with two coding problems, and a full loop of four to five interviews: two coding rounds, one or two design rounds (system design or product architecture), and a behavioral round called Jedi. Since late 2025, Meta has been running an AI-enabled coding round in CoderPad that can replace one standard coding interview. Most candidates go from first call to offer in four to eight weeks.

Key Takeaways

• Meta coding rounds are about speed. You get two problems in 45 minutes, usually LeetCode medium, with no code execution.
• The AI-enabled coding round is a 60-minute session in a multi-file CoderPad project with a built-in AI assistant. It tests how you direct and verify AI output.
• Design (system design or product architecture) and Jedi decide your level more than coding does. Coding mostly decides pass or fail.
• Levels run E3 (entry) to E7 (senior staff) for most external hires. Down-leveling from E5 to E4 is common when design is weak.
• Meta reuses questions more than Google, so company-tagged practice lists are useful.
• Many E3-E4 hires still go through bootcamp and team selection, while senior hires are more often team-matched before the offer.

What Does the Meta Interview Process Look Like in 2026?

Meta's process is one of the most standardized in the industry. Interviewers are trained on a shared rubric, questions come from a central bank, and the schedule is tight. Here is the full pipeline.

Meta interviewers have historically used internal nicknames for the round types: Ninja for coding, Pirate for design, and Jedi for behavioral. You will still see these names in prep materials and candidate reports.

Stage 1: The Recruiter Screen

The recruiter call covers your experience, the level you are targeting, and which org areas interest you (infra, ads, Reality Labs, AI infrastructure, product engineering, and so on). For mid-level and senior candidates, this call also decides whether you get one or two design rounds and whether you take system design or product architecture.

Use this call to:

1. Confirm the loop structure and whether the AI-enabled round is part of it.
2. Choose your design format. Backend and infrastructure engineers usually pick system design, while frontend, mobile, and full-stack engineers often pick product architecture.
3. Ask for prep materials. Meta recruiters usually share official prep guides and practice links.

Stage 2: The Technical Screen

The technical screen is a 45-minute live coding interview in CoderPad. The code is not executed, so you have to check correctness by walking through examples. The standard format is:

• About 5 minutes of introduction
• Two coding problems in about 35 minutes
• About 5 minutes for your questions

Two problems in 35 minutes means roughly 15-18 minutes each, including clarifying questions, approach, code, and testing. Candidates who solve one problem well and run out of time on the second often get rejected, so pacing matters.

Common topics at Meta:

• Arrays and strings with hash maps
• Binary trees (traversals, lowest common ancestor, serialization)
• Graphs (BFS, DFS, islands, cloning)
• Intervals and sorting
• Sliding window and two pointers
• Heaps for top-K questions
• Basic dynamic programming

Meta reuses questions, so working through Meta-tagged LeetCode lists is effective practice here. Our coding interview patterns cheat sheet covers the patterns behind most of them.

Stage 3: The Full Loop

The full loop is four to five interviews, usually done virtually in one day. Each type is scored separately.

Coding Rounds

Standard coding rounds follow the same format as the technical screen: two problems in 45 minutes. Interviewers score you on:

• Problem solving: Did you find an efficient approach and explain why it works?
• Coding: Is the code clean, correct, and idiomatic?
• Verification: Did you trace through test cases and catch your own bugs?
• Communication: Could the interviewer follow your reasoning the whole time?

Meta wants optimal or near-optimal solutions. A brute-force answer without an improvement usually does not pass, even if it is correct.

The AI-Enabled Coding Round

Starting in October 2025, Meta began piloting an AI-enabled coding interview that replaces one of the two standard coding rounds in some loops. Public candidate reports and prep platforms describe it consistently:

• 60 minutes instead of 45, with one extended problem instead of two.
• A three-panel CoderPad layout: file explorer, code editor, and an AI assistant panel next to the problem instructions.
• A multi-file codebase with existing code, dependencies, and tests. You might extend a feature, fix failing tests, or build a component on top of what is there.
• A choice of models in the assistant panel. Candidate reports list options from Meta's Llama family alongside models from OpenAI, Anthropic, and Google, and you can switch between them during the session.

What gets scored is not "did the AI solve it." Interviewers look at whether you understand the codebase before prompting, break the task into steps, write precise prompts, read and verify generated code, and catch bugs the AI introduces. Candidates who paste the whole problem into the assistant and accept the output tend to do poorly.

How to prepare for this round:

1. Practice reading unfamiliar repositories quickly. Find the entry points, tests, and data flow before writing anything.
2. Use an AI coding assistant on small real projects and practice reviewing its diffs critically.
3. Keep explaining your intent out loud before and after each AI interaction.
4. Run the tests often. Unlike standard rounds, code execution is available here.

This round is Meta's official answer to AI in interviews. In other rounds, using outside tools is still against the rules. For the wider picture, see is using AI during a coding interview cheating and CoderPad's cheating detection.

System Design or Product Architecture

E4 candidates usually have one design round. E5 candidates have one or two, and E6+ almost always have two. Typical prompts include:

System design (backend focus):

• Design the News Feed backend
• Design a distributed key-value store or cache
• Design a messaging system such as Messenger or WhatsApp
• Design a top-K trending service
• Design a web crawler

Product architecture (product and API focus):

• Design Instagram Stories
• Design a ticket booking feature for Facebook Events
• Design a comment system with live updates
• Design a photo-sharing feed with pagination

In both formats, Meta looks for clear requirements, sensible API and data model choices, scaling decisions backed by rough estimates, and trade-offs stated out loud. Senior candidates should go deep on the hardest component without being prompted. Our system design interview guide and how to practice system design cover the method.

The Jedi Behavioral Round

Jedi is Meta's behavioral interview. It is not a soft round. For senior candidates, Jedi and design together decide whether you land at E5 or E6.

Jedi interviewers usually explore:

• Conflict: a disagreement with a peer or manager and how you resolved it
• Ambiguity: a project with unclear goals and how you made progress
• Driving results: a time you delivered impact under constraints
• Growth: feedback you received and what you changed
• Scope: the largest project you owned and how many people or teams it touched

Expect follow-up questions that test whether the story is really yours. "What would you have done if your manager had said no?" and "What did you personally build?" are common. Build your story bank with our behavioral interview guide.

How Does Meta Decide Hire and Level?

After the loop, each interviewer submits written feedback and a recommendation. A review group checks the packet and makes the hire and level decision. A useful rule of thumb from candidate reports:

• Coding mostly decides whether you pass the bar at all.
• Design decides whether you are at E4, E5, or E6 technically.
• Jedi checks whether the scope and leadership of your experience match that level.

It is common for E5 candidates to get an E4 offer when coding is strong but design or Jedi show E4-level scope. If that happens, ask your recruiter whether a re-interview for the design round is possible. Sometimes it is.

Bootcamp and Team Selection

Meta has long been known for its engineering bootcamp, a multi-week onboarding program where new engineers ship small tasks across the codebase and then choose a team. In 2026 the picture is mixed:

• Many E3 and E4 hires still go through bootcamp followed by team selection, where they meet several teams and choose one.
• E5 and above are more often matched to a team during or just after the interview process, sometimes with team-matching calls before the offer is finalized.
• Specialized roles such as ML infrastructure or specific Reality Labs teams usually hire directly into a team.

Ask your recruiter which path applies to you. It affects both how quickly you start real work and how much choice you have.

Meta Levels and Compensation (E3-E7)

Meta's levels map closely to Google's: E3 is roughly Google L3, E5 is roughly L5. The figures below are approximate US totals based on public self-reported data and vary with location and negotiation.

Meta compensation combines base salary, a target annual bonus (about 10-15% of base at E3-E5, higher above), and RSUs. New-hire RSU grants have typically vested quarterly in equal installments over four years, with refresher grants based on performance. Meta offers are often negotiable when you have competing offers, especially on equity and sign-on bonus. Our salary negotiation guide covers the tactics.

How Long Does the Meta Interview Process Take?

Meta is one of the fastest big tech companies. A typical timeline:

1. Week 1: Recruiter screen
2. Weeks 2-3: Technical screen, with results within a few days
3. Weeks 3-6: Full loop, often scheduled two to three weeks after the screen so you have time to prepare
4. Weeks 5-7: Packet review and offer
5. Weeks 6-10: Team matching or bootcamp start

Compare this with the longer committee and team match process at Google in our Google technical interview guide, or the general benchmarks in how long a FAANG interview process takes.

How Should You Prepare for the Meta Interview?

For Coding

• Solve 150-250 LeetCode problems with a focus on mediums, including Meta-tagged lists. See how many LeetCode problems you need.
• Time yourself at 18 minutes per problem, including explanation and testing.
• Practice in an editor with no execution and trace your code by hand.

For the AI-Enabled Round

• Spend a few sessions working in unfamiliar open-source repos with an AI assistant.
• Practice prompting in small steps and reviewing every suggested change.
• Get used to explaining your plan before you touch the AI panel.

For Design

• Do 8-12 timed mock design interviews in your chosen format.
• Prepare a reusable outline: requirements, estimates, API, data model, high-level design, deep dive, trade-offs.

For Jedi

• Write out six to eight stories covering conflict, ambiguity, failure, impact, and mentorship.
• Quantify impact wherever possible, such as latency, revenue, or engineer-hours saved.

Meta vs. Google vs. Amazon: How Is the Loop Different?

Meta's loop is faster and more predictable than Google's, with fewer coding rounds and a quicker decision. It is much less behavior-heavy than Amazon's, where every round includes Leadership Principles questions. See the Amazon technical interview process for that comparison. Meta is also the only one of the three that formally lets you use AI in one round, which shows where industry interviews are heading.