Research Scientist Intern: Advancing Scam Detection & Trust

Meta; Menlo Park (CA); On-site; USD 39,000 - 61,000; Full time

Job summary

Meta is seeking Research Scientist Interns to join our Scam and Trust team within Facebook. Interns will work with researchers to tackle real-world scam detection challenges using LLMs, agentic tools, and robust evaluation techniques.

Internships run 12–24 weeks with flexible start dates. Applicants should be pursuing a Ph.D. in CS/AI/NLP and possess work authorization. Prior ML/NLP experience and cross-functional teamwork are highly valued.

Qualifications

• Experience with deep learning frameworks and ML/NLP systems.
• Proven track record of research achievements via grants, fellowships, patents or publications.

Responsibilities

• Conduct research on scam detection and prevention at scale.
• Collaborate with researchers and engineers to translate real-world problems into projects.

Skills

Deep learning frameworks

NLP methods

Research communication

Cross-functional collaboration

Education

PhD in CS/AI/NLP

Tools

Transformers (BERT)

LLMs

PyTorch

TensorFlow

Job description

Meta is seeking Research Scientist Interns to join our Scam and Trust team within Facebook. Interns will work with researchers to tackle real-world scam detection challenges using LLMs, agentic tools, and robust evaluation techniques.

Internships run 12–24 weeks with flexible start dates. Applicants should be pursuing a Ph.D. in CS/AI/NLP and possess work authorization. Prior ML/NLP experience and cross-functional teamwork are highly valued.