# Research Scientist Intern - Multiple Teams at Meta

- Company: [Meta](https://meta.com)
- Location: Bellevue, WA
- Type: Internship · Internship
- Posted: 2026-10-29
- Apply: https://www.metacareers.com/jobs/1105933535765181
- Page: https://newgrad.ai/jobs/research-scientist-intern-multiple-teams-863aa53a

## Summary by newgrad.ai

What you'll do:

- Develop machine learning solutions to identify harmful content and bad actors.
- Build agentic AI systems that reason over entities and apply policies.
- Manage end-to-end research projects from initial framing to final publication.
- Execute workflows involving data analysis, feature engineering, and model deployment.

What they're looking for:

- Ability to optimize agentic AI performance for detecting adversarial behavior.
- Experience distilling large reasoning models into scalable, cost-efficient solutions.
- Skill in improving multi-harm models without causing performance regressions.

## 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 the Integrity (Trust and Safety) team within Facebook. We are the applied ML team developing cutting-edge AI solutions to detect harm from bad actors. Our models decide when a group spreading severe harm should be taken down, when a creator is faking engagement, when a page is impersonating someone, and when an enforcement should be reversed on appeal, across a platform used by billions of people.

Our work has moved from per-post classifiers to advanced agentic AI systems that reason over an entire entity (its content, members, admins and history) and apply written policy the way an expert would, pushing the precision/recall boundaries on adversarial actor detection. The open research problems are about making that judgment efficient, reliable:

- Pushing the performance boundaries for agentic AI applied to bad actor detection
- Distilling large reasoning models into solutions that can scale cost-efficiently, including pushing the boundaries of decision-style models like Jev
- Improving shared multi-harm model improving without regressing other harms

Interns own one focused research problem end to end, from framing to experiments to publication, under the guidance of our research scientists and machine learning engineers. You will own E2E ML workflows including AI-driven agentic workflows with Gemini/Claude/Muse as well as scaled solutions through data analysis, feature engineering, model development and deployment.

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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