Research Scientist Intern, Scam and Trust (PhD)

What you'll do

• Formulate research questions and develop methods combining LLM reasoning and content, behavioral, or social-network evidence to detect scams.
• Research agentic investigations and feedback-driven self-improvement, and rigorously evaluate robustness, false-positive trade-offs, and efficiency.
• Collaborate on prototypes, communicate findings, and document research, including potential publications.

What they ask for

• Currently has or is pursuing a Ph.D. in a listed or relevant technical field; intends to return to the degree program after the internship.
• Experience with deep learning frameworks and building systems based on machine learning, deep learning, or natural language processing.
• Familiarity with generative-model training algorithms and common deep learning architectures.
• Must obtain and maintain work authorization in the country of employment; demonstrated software development experience.

Nice to have

• Research or project experience in one or more listed areas, such as LLM reasoning, agentic systems, reinforcement learning, or weak supervision; applying these to adversarial or real-world problems is a plus.
• Research achievements demonstrated by grants, fellowships, patents, or publications at leading AI conferences.

Pay

$7,650/month to $12,667/month (compensation type not specified)

Tools

LLM, Transformers, BERT

AI focus

Research on LLM reasoning, agentic systems, recursive self-improvement, and machine-learning methods for scam detection and prevention.