# Research Scientist Intern - Scam and Trust at Meta

- Company: [Meta](https://meta.com)
- Location: Menlo Park, CA
- Type: Internship · Internship
- Posted: 2026-10-29
- Apply: https://www.metacareers.com/jobs/2355649268510104
- Page: https://newgrad.ai/jobs/research-scientist-intern-scam-and-trust-aa17c8d8

## Summary by newgrad.ai

What you'll do:

- Develop new modeling methods to detect and prevent global financial scams.
- Integrate large language models with behavioral signals and agentic systems.
- Research recursive self-improvement techniques to strengthen detection workflows.
- Collaborate with scientists to apply research findings to production systems.

What they're looking for:

- Ability to translate complex security challenges into focused research projects.
- Interest in addressing adversarial tactics across social networks and content.
- Capacity to maintain system robustness despite evolving threats and distribution shifts.
- Availability for internships lasting 12, 16, or 24 weeks.

## Posting

Meta was created to foster connection and sharing worldwide. Over the past decade, our platforms have transformed global communication. With over a billion active users, joining Meta provides extraordinary opportunities to make a meaningful impact within a rapidly evolving organization.

Meta is seeking Research Scientist Interns to join our Scam and Trust team within Facebook. Scams are a global financial threat. At Meta’s scale, proactive detection and prevention are essential for protecting billions of users worldwide, making addressing scams one of the top priorities at Meta. The space is highly adversarial as bad actors continually change tactics and operate across content, behavior, and social networks, making isolated signals and static models insufficient. You will develop novel modeling and evaluation methods that address these challenges.

You will work alongside research scientists and engineers to translate a real-world scam-detection and prevention challenge into a focused research project. Research opportunities include:

- combining large language model (LLM) reasoning with actor representations and content or behavioral signals
- developing agentic systems that use tools to gather evidence, investigate suspicious activity, and adapt their reasoning

You may also investigate recursive self-improvement methods that enable LLM-based systems to identify weaknesses, propose improvements to their strategies or workflows, and validate those improvements through rigorous evaluation. Other research opportunities include learning from noisy and limited labels, transferring methods across surfaces, and maintaining robustness under distribution shift as adversaries evolve. Promising research may inform production systems that protect people from scams and contribute to research publications.

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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