# Research Scientist Intern - Youth Safety - PhD at Meta

- Company: [Meta](https://meta.com)
- Location: Bellevue, WA
- Type: Internship · Internship
- Posted: 2026-10-27
- Apply: https://www.metacareers.com/jobs/984204394727196
- Page: https://newgrad.ai/jobs/research-scientist-intern-youth-safety-phd-25e422e0

## Summary by newgrad.ai

What you'll do:

- Develop machine learning models for youth safety and content personalization.
- Create infrastructure for evaluating LLM performance and safety enforcement.
- Research age-appropriate ranking, content detection, and age-signal modeling.

What they're looking for:

- Current PhD students.
- Experience in machine learning, integrity, or personalization systems.
- Availability for 12, 16, or 24-week internship durations.

## Posting

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our Youth and Controls team within Facebook. Youth safety is one of the most consequential problems at Meta right now — the models you build change what millions of teenagers see every day. Our team owns age-appropriate content experiences across Facebook, including content-understanding and age-understanding models that decide what gets shown and to whom, spanning Teen Accounts, parental supervision, U13 experiences (Messenger Kids), and our most protective content tiers.

More concretely, you will work on high-ambiguity, high-impact problems at the intersection of ML, integrity, and personalization:

- proactive detection of harmful content for youth,
- age-appropriate ranking and retrieval,
- safety-aware personalization and controls,
- and age-signal modeling (stated vs. predicted age reconciliation).

A cross-cutting theme is evaluation at scale — building LLM-judge and quality-eval infrastructure so enforcement LLMs ship with rigorous, youth-specialized measurement, and connecting model improvements to real teen experience through human judgments and online experiments.

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt