Meta Internships

A practical guide to Meta internship tracks, reported compensation, interview patterns, and where Final Round AI fits into the prep workflow.

Last reviewed: May 2026 | Researched by Final Round AI | Acceptance rate: ~1.5% | Return offer rate: ~85% | Eligibility: Expected graduation Dec 2026 – Jul 2028

Meta internships at a glance

Use this as a working brief, not a substitute for the live role listing.

Reported SWE pay

~$8,000/month

Roughly $46/hour based on reported market data. Source

Housing support

$1,500/month

Often reported alongside relocation assistance.

Duration

12 weeks

Most programs run through the summer.

Application timing

Late summer onward

Student roles typically open in late summer or early fall for the following year. Source

Program families

SWE, Meta University, Research

Tracks vary by academic level, focus area, and region.

Locations

Menlo Park, CA + global offices

Major hubs include Menlo Park, New York, Seattle, and London.

Which Meta internship track fits your background?

This page deliberately distinguishes the tracks so students do not assume every role targets the same profile.

Software Engineering

Juniors, seniors, and graduate students

The flagship engineering path focused on building products used by billions, working directly on production systems at massive scale.

12 weeks ~ $8,000/month reported

Meta University

Freshman and sophomore students

An early-career program for students with less experience, offering structured mentorship and exposure to real engineering work at scale.

10 weeks ~ $7,000/month reported

Research internship

Research-oriented masters and PhD students

Focused on AI, ML, AR/VR, and systems research at Meta AI and Reality Labs, suited for candidates with strong publication records.

12-16 weeks ~ $10,500/month reported

How to apply for Meta internships

Follow these steps to submit a strong application.

1. Visit Meta Careers and navigate to "Students and Grads."
2. Filter by internship type (SWE, Meta University, Research).
3. Submit your application with resume, transcript, and portfolio links.
4. Complete the coding assessment if sent after initial review.
5. Prepare for two coding rounds and a behavioral interview.

Meta internship key dates

Typical recruiting timeline based on reported market patterns. Verify exact dates on the official careers page.

Who should apply

These are directional filters, not legal guarantees. Students still need to verify the exact listing.

Current enrollment in a relevant undergraduate or graduate program is the standard baseline.

Candidates must return to school after the internship ends.

Core programming fluency and coursework in data structures or algorithms are expected for engineering tracks.

Meta University targets first- and second-year students with less prior internship experience.

Students should verify work authorization requirements on the specific role listing before applying.

Interview question patterns worth practicing

These are common themes reported by candidates and communities, not official disclosed questions.

Q1
Given a string, find the length of the longest substring without repeating characters.
Use a sliding window with a hash set to track seen characters. Discuss edge cases clearly.

Q2
Merge two sorted linked lists into one sorted list.
A simple iterative merge is expected. Walk through pointer manipulation step by step.

Q3
Serialize and deserialize a binary tree.
BFS or preorder traversal both work. Explain your null-marker strategy clearly.

Q4
Tell me about a time you had to move fast on an ambiguous project.
Meta values speed and impact. Use STAR, but emphasize how you scoped and shipped under uncertainty.

How Final Round AI fits into Meta prep

• AI Mock Interview: Practice internship-style technical and behavioral questions with immediate feedback on structure, communication, and pacing.
• AI Resume Builder: Build an ATS-ready student resume that emphasizes the exact projects, coursework, and keywords recruiters care about.
• Interview Copilot: Get live support during interviews so you can clarify your thinking, stay structured, and answer with more confidence under pressure.

Reported compensation snapshot

Numbers can move every cycle, so this section is framed as market context rather than a promise.

• Reported SWE monthly pay: $8,000
• Reported Meta University pay: $7,000
• Housing support: $1,500/mo
• Reported market benchmark: Return-offer potential: Strong, Performance-dependent

Compensation figures are compiled from reported market sources and can change by team, location, and year. Students should verify details on the current role listing.

Candidate perspective

The intent here is to surface realistic student concerns, not to overproduce social proof.

Incoming SWE intern: "The coding rounds were tough but fair. What helped most was practicing under a timer and learning to talk through my approach while writing code."

Meta University participant: "Meta University gave me real engineering work with a strong mentor. It felt like an actual onboarding, not a watered-down version of the job."

Meta internship FAQ

What is Meta University?

How much do Meta interns make?

When do Meta internship applications open?

What is the typical interview flow at Meta?

Does Meta hire non-CS majors for engineering internships?

How should students prepare for Meta behavioral questions?

Explore other internship targets

Each company guide covers programs, interview patterns, reported pay, and prep tools tailored to that company.

• Google Internships: $8,500/mo, SWE, STEP, Research, BOLD · 12-14 weeks
• Amazon Internships: $8,100/mo, SDE, Propel, Future Engineer · 12 weeks
• Microsoft Internships: $8,000/mo, SWE, Explore, Research · 12 weeks
• Apple Internships: $7,500/mo, SWE, Pathways · 12 weeks
• NVIDIA Internships: $9,000/mo, GEAR Research, Ignite · 12 weeks
• OpenAI Internships: $18,300/mo, Residency, SWE · 12-16 weeks

Prep for your Meta internship interviews

Start with realistic practice, tighten your resume, and walk into the live interview with better structure than most candidates.