Mobius - AI Research Scientist

Description :

Key Responsibilities :

• Design architectures for meta-learning, self-reflective agents, and recursive optimization loops.
• Build simulation frameworks for I behavior grounded in Bayesian dynamics, attractor theory, and teleo-dynamics.
• Develop systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning.
• Conduct research on fractal intelligence structures, swarm-based agent coordination, and autopoietic systems.
• Advance Mobiuss knowledge graph with ontologies supporting logic, agency, and emergent semantics.
• Integrate I logic into distributed, policy-scoped decision graphs aligned with business and ethical constraints.
• Publish cutting-edge results and mentor contributors in reflective system design and emergent AI theory.
• Build scalable simulations of multi-agent, goal-directed, and adaptive ecosystems within the Mobius runtime.

Required Qualifications :

1. Meta-learning, recursive architectures, and AI safety.

2. Distributed systems, multi-agent environments, and decentralized coordination.

3. Formal and theoretical foundations, including Bayesian modeling, graph theory, and logical inference.

Preferred Qualifications :

Technical Proficiency :

Core Research Domains :

(ref : hirist.tech)