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AI Research Scientist - 2026 Innovations

QuantumLeap Labs
Austin
Estimated Salary
USD 175.000 – USD 225.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking an AI Research Scientist to architect next-generation artificial intelligence systems that will redefine industries. As a pioneer in quantum-computing-optimized neural networks, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's grandest challenges.

Your impact will span from climate modeling breakthroughs to personalized medicine algorithms. We offer unparalleled resources—including our 500-qubit quantum cluster—and a culture where audacious ideas become reality.

Responsibilities

  • Design and implement quantum-accelerated ML models for 2026-era applications
  • Lead cross-disciplinary research initiatives in autonomous systems and generative AI
  • Develop patent-pending algorithms for real-time multi-dimensional data processing
  • Publish breakthrough research in Nature/Science journals and top-tier AI conferences
  • Mentor PhD fellows and establish new industry benchmarks for AI ethics
  • Architect scalable AI infrastructure supporting 10M+ concurrent inference operations
  • Collaborate with DARPA and NASA on classified national security projects

Qualifications

  • PhD in AI, Quantum Computing, or Computational Physics from Tier 1 institution
  • 3+ years publishing in NeurIPS/ICML/CVPR with h-index >15
  • Expertise in quantum machine learning frameworks (Cirq, Qiskit, PennyLane)
  • Proficiency in Python/C++ with PyTorch/TensorFlow optimization mastery
  • Experience with exascale computing systems (Summit, Frontier, or equivalent)
  • Demonstrated success in commercializing AI research (2+ patents)
  • Deep understanding of AGI safety protocols and ethical AI frameworks
  • Security clearance eligibility for government collaborative projects

Required Skills

Quantum Computing Machine Learning Neural Networks Python PyTorch Research Ethics AI Safety

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