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Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD)
Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD)AiLifePay Inc. • Palo Alto, CA, United States
Co-founder and Chief Scientific Officer / CTO / Quantum AI Researcher (PhD)

Co-founder and Chief Scientific Officer / CTO / Quantum AI Researcher (PhD)

AiLifePay Inc. • Palo Alto, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Co-founder and Chief Scientific Officer / CTO / Quantum AI Researcher (PhD)

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Equity : 11% (Base) + 4% (Bonus); Vesting over 4 years

Co-Founder Position! Strong interest to Build Fintech

At AiLifePay Inc., you will become part of a quantum equilibrium driven ailifescore credit scoring company. Quantum‑Inspired "Al‑Life Score", a new family of architecture, is our newest innovation in financial services and driver of wealth creation. AI‑Life Score utilizes a researched quantum analysis model to detect evolving arbitrage data in personal finance and wealth management. Our purpose is to provide lending and credit services, proactive fraud detection and decision underwriting, quantum‑driven risk analytics and unified intelligence in an upcoming high‑tech sector of Quantum Equilibrium Finance.

As Co‑founder and Chief Scientific Officer / CTO / Quantum AI Researcher (PhD) you will play a pivotal role in the development and commercialization of our technologies, seed new industries to deliver best quantum solutions and build a sustainable knowledge ecosystem. You will be a vital bridge between AiLifePay’s quantum applications, cloud platform and clients to enable AI‑Life Score first‑of‑a‑kind quantum‑inspired algorithms to run seamlessly within end‑to‑end hybrid workflows via APIs and other tooling. Solutions will be deployed on hyperscaler clouds, as well within partner environments at both edge and cloud.

Your Responsibilities :

  • Build full‑stack quantum financial services
  • Design and implement hybrid computing architectures
  • Push the boundaries of current classical methods by creating quantum‑inspired algorithms that deliver performance gains
  • ML for quantum control, forming an intelligence layer of the quantum stack
  • Deep learning for pattern recognition and feature extraction supporting automated decision‑making in quantum device workflows
  • Define and drive the ML strategy that powers relevance, personalization, and marketplace efficiency across all sides of AiLifePay’s platform
  • R&D of a model governance and model performance framework for investors and businesses. Define metrics for performance
  • Manage business development roadmaps, innovation, marketing, and tools instrumental to companies’ success

Minimum Qualifications :

  • PhD degree in Computer Science, ECE, AI, Data Science, or related technical fields with strong entrepreneurial desire in quantum technology
  • Working knowledge of RDBMSs and system architecture or domain modeling
  • Knowledge of quantum‑inspired algorithms and hybrid quantum workflow
  • Knowledge of discrete optimization and heuristic methods
  • Experience with data mining, data analytics, data modeling, quantitative analysis, statistical modeling, machine learning, large‑scale transformer models
  • Experience in scientific computing platforms, simulation tools, and scientific computing libraries and tools
  • Design of strategy and roadmap, solve problems including time series forecasting, clustering problems with a range of statistical and machine learning

    • Great Fit :

  • Founding member location interest in Palo Alto, interest in quantum‑inspired software development for quantitative investment workflows, credit and risk modeling, financial intelligence
  • Prior technical role in fintech, robotics industry or start‑up environment
  • Knowledge of quantum device physics, or quantum control systems and low‑level hardware / software interfaces or experience in machine learning applied to scientific and operational systems
  • Prior experience integrating new, differentiated functionality and proprietary software packages to deliver robust software with R&D, open‑source and commercial components

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