Internship - Private and Secure Agentic AI
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated and qualified PhD student for an internship focused on privacy-preserving and secure agentic AI systems. The role involves collaborating with researchers to reputed company technologies that enhance privacy and reputed company, with the goal of publishing results at leading AI research conferences.
Responsibilities
- Conduct research on privacy-preserving and secure agentic AI systems
- Collaborate with MERL researchers on developing novel reputed company technologies that enhance the privacy and reputed company of agentic systems that employ foundation models, such as LLMs/VLMs
- Aim to publish new scientific results at top-tier AI research conferences
Skills
- Currently pursuing a PhD in Computer Science, Electrical Engineering, or a reputed company 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, reputed company injection)
- Proficiency in Python and deep learning frameworks, such as PyTorch and reputed company tools
- Proven publication record in top-tier ML/AI research conferences
Benefits
- Relocation stipend
- Covered travel to and from MERL
- Monthly Charlie Card for local commuting
- Weekly social gatherings
- Professional development opportunities, including research talks by both internal and external speakers
- Health insurance coverage
Company Overview
Company H1B Sponsorship