AI Consciousness System Researcher
Investigate computational models of metacognition, self-reflective world modeling, agency attribution, and recursive internal self-monitoring in synthetic intelligences.
Role Overview & Operational Scope
True autonomy requires an agent that understands its own internal states, limitations, and cognitive certainty. In this foundational research role, you will formalize computational models of metacognition—building systems that maintain internal world models, monitor their own attention trajectories, and self-correct before executing irrevocable actions.
Key Responsibilities & Production Deliverables
- Develop computational implementations of Global Workspace Theory, Predictive Processing, and higher-order thought models for LLM agents.
- Formulate mathematical metrics for synthetic introspection, certainty calibration, and epistemic self-awareness.
- Design recursive internal monologue architectures that enable agents to plan, simulate hypothetical futures, and evaluate outcomes.
- Conduct rigorous empirical studies dissecting attention heads and latent representations associated with agentic self-reference.
- Publish peer-reviewed academic papers representing Cehpoint at elite international AI conferences.
Mandatory Foundational Knowledge
- Theoretical cognitive science, philosophy of mind, computational neuroscience, and predictive coding paradigms.
- Information-theoretic measures of complexity (Integrated Information Theory, transfer entropy, mutual information).
- Deep learning theory: attention mechanics, representation spaces, and latent state dynamics.
Mandatory Practical Skills & Architecture
- Proficiency in PyTorch or JAX for probing internal model activations and training secondary metacognitive heads.
- Extensive experience with statistical analysis, experimental design, and hypothesis testing.
- Ability to translate abstract theoretical concepts into verifiable, runnable software benchmarks.
Problem Solving, Execution Rigor & Curiosity
- Fearless curiosity regarding the deepest questions of intelligence, agency, and synthetic cognition.
- Scientific rigor that strictly differentiates measurable computational dynamics from science fiction hyperbole.
- Commitment to ethical responsibility in the development of increasingly autonomous artificial minds.
5-Day Live Technical Evaluation Milestone
5-Day Live Practical Milestone: Author a validated computational model demonstrating agentic self-reflection and confidence calibration that accurately predicts its own hallucination probability prior to token generation (strictly 5 working days).
Institutional Hiring Protocol: Candidates who pass initial resume screening are invited to a live, practical evaluation milestone spanning strictly not more than 5 working days. Verifiable completion and code audit by your assigned senior engineering mentor is the sole prerequisite for official corporate offer letter issuance.
Compensation, Total Rewards & Advancement
- Elite compensation (₹16,00,000–₹28,00,000) with independent research budget allocation.
- Complete academic freedom to publish findings and present at global AI symposiums.
- Fully remote working model with access to high-performance compute clusters.
- Direct leadership of Cehpoint's advanced cognitive sciences division.
Dedicated Inquiries Inbox for This Role
Have questions regarding architecture scope or wish to share private research repos directly? Messages sent to this address route straight to the engineering leads reviewing this opening.
ai-consciousness-system-research-careers@cehpoint.co.in
Open Mail Client →