Research Scientist Intern: Scam & Trust Modeling

New Grad; Menlo Park (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

Meta is seeking Research Scientist Interns to join the Scam and Trust team within Facebook. Interns will develop novel modeling and evaluation methods to detect and prevent scams affecting billions of users, collaborating with researchers and engineers.

Internships last 12 to 16 weeks or 24 weeks with multiple start dates; opportunities include combining LLM reasoning with actor representations, gathering evidence, and evaluating robustness against adversaries.

Qualifications

• Experience with ML concepts and evaluation metrics.
• Ability to work with noisy real-world data and signals.
• Strong communication of research findings.

Responsibilities

• Collaborate with researchers to translate scam detection challenges into a research project.
• Develop modeling approaches and evaluate them on realistic data.
• Explore LLM reasoning with actor representations and signals.
• Prepare results for publication and production validation.

Skills

Machine learning

Python

Research methods

Data analysis

Education

Pursuing CS/Math/ML degree

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Meta is seeking Research Scientist Interns to join the Scam and Trust team within Facebook. Interns will develop novel modeling and evaluation methods to detect and prevent scams affecting billions of users, collaborating with researchers and engineers.

Internships last 12 to 16 weeks or 24 weeks with multiple start dates; opportunities include combining LLM reasoning with actor representations, gathering evidence, and evaluating robustness against adversaries.