CI0216: Internship - Private and Secure Agentic AI

Mitsubishi • Cambridge, MA

58d • $6 - $8

About The Position

MERL is seeking a highly motivated and qualified PhD student to conduct research on privacy-preserving and secure agentic AI systems. The aim of the internship to collaborate with MERL researchers on developing novel fundamental technologies that enhance the privacy and security of agentic systems that employ foundation models, such as LLMs/VLMs. The goal is to publish new scientific results at top-tier AI research conferences.

Requirements

• Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
• Strong background in machine learning, LLMs/VLMs, foundation models, and agentic AI systems.
• Research experience with private and/or secure foundation models (e.g., differential privacy, adversarial inputs, jailbreaking attacks/defenses, prompt injection).
• Proficiency in Python and deep learning frameworks, such as PyTorch and Hugging Face tools.
• Proven publication record in top-tier ML/AI research conferences.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees