Chief Scientist

Job Title: Chief Scientist – AI & Economic Intelligence

Location: Remote / Hybrid (preferred: U.S. & Europe)

Start Date: Immediate

Compensation: Competitive + Equity & Token Warrants

About Us: Moneetize, powered by the Cybernetic Economic Intelligence Foundation (CEIF), is redefining wealth creation by transforming e-commerce purchases into income-generating assets. We are building the Cybernetic Economic Intelligence System (CEIS)—an AI-powered transaction platform that turns shopping into an asset class, bridging the gap between commerce and investing. At the heart of this system is Personal AI—autonomous agents trained to optimize financial decisions, unlock wealth from everyday transactions, and reimagine data as capital. The CEIF is assembling a world-class team to develop a Large Economic Model (LEM), a first-of-its-kind economic intelligence framework that powers self-learning, self-optimizing financial AI.

We are looking for a Chief Scientist to spearhead our research in AI-driven economic intelligence, self-corrective machine learning, and abductive reasoning models. This is a groundbreaking role that blends AI, econometrics, information theory, and autonomous learning systems to redefine how AI interacts with economic activity.

Your Role: As Chief Scientist, you will lead cutting-edge research in:
• Abductive Inference & Decision-Making: Developing AI models that can infer optimal economic strategies from real-world transaction data.
• Quantile Mechanics & Applied Econometrics: Designing advanced statistical methods for predictive financial modeling and AI-driven investment strategies.
• Information Theory & AI Optimization: Building robust AI systems that enhance economic decision-making and autonomous market intelligence.
• Admissible Machine Learning: Ensuring AI-driven economic transactions are provably optimal, transparent, and adaptive.
• Self-Corrective AI: Engineering Personal AI agents that continuously learn, self-optimize, and refine financial strategies in real time.

Responsibilities:
• Lead fundamental research in AI-driven economic intelligence, financial AI modeling, and market optimization algorithms.
• Develop scalable AI models that integrate with Moneetize's marketplace ecosystem and PGI (Personal Growth Income) models.
• Collaborate with the engineering and economics teams to enhance AI-powered transactions, tokenized assets, and decentralized wealth-building models.
• Ensure AI decision-making is interpretable, data-efficient, and aligned with economic principles.
• Mentor and build a world-class AI research team at the CEIF.

What We’re Looking For:
• Ph.D. in Statistics, Machine Learning, AI, Econometrics, or a related field.
• 15+ years of experience in AI research, economic modeling, and computational intelligence.
• Strong publication record in top AI/ML, statistics, or econometrics journals.
• Expertise in abductive inference, quantile mechanics, and information theory.
• Experience with AI-driven economic modeling, self-corrective AI, and decision-making under uncertainty.
• Proven ability to design AI models that are interpretable, adaptive, and scalable.
• Deep understanding of networked economic systems, financial AI, and decentralized AI models.
• Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and statistical programming (R, Julia, MATLAB).

Preferred:
• Experience in tokenized economies, AI-powered financial systems, or decentralized intelligence.
• Knowledge of agentic AI models and network governance.
• Experience with AI-driven investment modeling and real-time AI financial optimization.

Why Join Us:
• Be part of the first AI-powered marketplace that turns commerce into an asset class.
• Develop AI that transforms shopping, wealth creation, and decentralized finance.
• Work alongside top AI researchers, economists, and ML pioneers.
• Competitive compensation, equity, and token warrants.
• Shape the future of AI-driven economic intelligence.