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AI Research Scientist (2026 Initiative)

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of the 2026 AI revolution! We're pioneering breakthroughs in quantum-entangled neural networks and autonomous systems that will redefine human-machine interaction. Our Austin hub is seeking visionary AI Research Scientists to architect the next generation of cognitive architectures.

As a key member of our 2026 Initiative, you'll collaborate with Nobel laureates and industry disruptors to develop ethical, scalable AI solutions. We offer unparalleled resources, patent support, and a culture that celebrates intellectual curiosity. Shape the future while advancing your career in one of America's most vibrant tech ecosystems.

Responsibilities

  • Lead research on quantum-enhanced machine learning models for 2026 deployment
  • Design novel neural network architectures capable of real-time autonomous decision-making
  • Collaborate with quantum computing teams to optimize AI-hybrid systems
  • Develop ethical frameworks for bias mitigation in advanced AI systems
  • Author white papers and patents for next-generation AI methodologies
  • Mentor PhD candidates in our 2026 Fellowship Program
  • Present findings at premier AI conferences including NeurIPS and ICML

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years research experience
  • Published work in top-tier journals (Nature, Science, or IEEE) on AI/ML
  • Expertise in TensorFlow, PyTorch, and quantum computing frameworks
  • Proven track record of developing production-level AI systems
  • Deep understanding of quantum algorithms and entanglement principles
  • Experience with federated learning and edge AI deployment
  • Demonstrated ability to translate research into commercial applications

Required Skills

Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch Quantum Algorithms Federated Learning Edge AI Patent Research

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