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AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will reshape industries by 2026, seeking visionary researchers to architect the next generation of neural networks and quantum-entangled computing paradigms. This role offers unparalleled resources to transform theoretical breakthroughs into real-world applications.

Our Austin R&D center features state-of-the-art quantum processors and neurosynaptic computing clusters. You'll collaborate with Nobel laureates and Turing Award winners to develop AI systems that solve previously unsolvable problems in healthcare, climate modeling, and autonomous systems.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional teams in developing quantum-AI hybrid computing frameworks
  • Publish groundbreaking research in top-tier AI journals and conferences
  • Collaborate with product teams to commercialize research outcomes
  • Secure $5M+ in government and industry grants for 2026-focused projects
  • Mentor junior researchers in next-gen AI methodologies
  • Develop ethical frameworks for advanced autonomous systems

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
  • Published research in NeurIPS, ICML, or Nature Machine Intelligence (2020-2023)
  • Expertise in transformer architectures, federated learning, and quantum machine learning
  • Proficiency in PyTorch, TensorFlow Quantum, and Cirq
  • Demonstrated ability to secure government research grants
  • Experience leading teams of 5+ researchers
  • Published work on ethical AI bias mitigation
  • Fluency in quantum programming languages (Q#, Quil)

Required Skills

Machine Learning Quantum Computing Deep Learning Python PyTorch TensorFlow Quantum Research Data Science Neural Networks

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