Meta-Cognitive Agentic AI Systems

Meta-Cognitive Agentic AI Systems - Honda Research Institute USA

Honda Research Institute USA (HRI-US) is seeking a self-motivated research intern to join our Cooperative Cognition Team in developing adaptive AI systems that can operate in complex, human-AI collaborative environments. The intern will help design and implement AI agents with metacognitive capabilities, focusing on areas such as multi-agent systems for long-horizon tasks, test-time scaling, and rapid adaptation to individual preferences. This work will advance robust, self-adapting systems and lay the foundation for AI partners that quickly learn new tasks, adjust to evolving team, and cooperate effectively with humans.

San Jose, CA

During the time of internship, the intern is expected to develop meta-cognitive algorithms (assessment and intervention) for enhancing efficiency and reliability of agentic AI systems. Potential research topics include (but not limited to):

• Test-time scaling of vision-language (action) models.
• Enhancing the robustness of LLMs in long-horizon, multi-agent agentic tasks.
• Curation of a novel benchmark focused on multi-modal agentic systems.

• Currently enrolled as a Ph.D. student in Computer Science, Machine Learning, or a related field at a reputed university (exceptional M.S. candidates with a minimum of 1 year of research experience may also be considered).
• Strong familiarity with agentic AI systems and modern foundation model training techniques.
• Experience in open-source deep learning frameworks (PyTorch, JAX, etc.).

• Experience with neural network representation analysis, interpretability, and/or uncertainty quantification.

Years of Work Experience Required 0

Desired Start Date 1/5/2026

Internship Duration 3 Months

Position Keywords Agentic AI, meta-cognitive AI

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Please, do not contact our office to inquire about your application status.