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AI Research Scientist - 2026 Vision

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-enhanced machine learning, autonomous systems, and ethical AI frameworks. Work in our state-of-the-art Austin facility alongside Nobel laureates and Turing Award winners to solve humanity's most complex challenges. We offer competitive equity packages, flexible hybrid work, and unparalleled professional development in an environment where innovation thrives.

Responsibilities

  • Design and implement novel quantum neural network architectures for 2026-era computing environments
  • Lead cross-functional teams in developing ethical AI governance frameworks for autonomous systems
  • Publish groundbreaking research in top-tier journals (Nature AI, Science Robotics, etc.)
  • Collaborate with product teams to translate research into commercial AI solutions
  • Drive innovation in explainable AI and bias mitigation techniques
  • Secure $5M+ in government/private research grants annually
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 3+ years postdoc experience
  • Published 15+ peer-reviewed papers in AI/quantum computing (h-index >25)
  • Expertise in PyTorch, TensorFlow Quantum, and D-Wave systems
  • Proven track record of securing federal research grants (NSF, DARPA)
  • Deep understanding of quantum algorithms and error correction
  • Experience with federated learning and edge AI deployment
  • Strong background in AI ethics and regulatory compliance frameworks
  • Exceptional programming skills in Python, C++, and Q#

Required Skills

Quantum Computing Machine Learning PyTorch TensorFlow Quantum D-Wave AI Ethics Research Grants Quantum Algorithms Federated Learning Edge AI Q#

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