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AI Research Scientist (2026 Technologies)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthroughs for 2026 and beyond. We seek visionary AI Research Scientists to develop next-generation quantum neural networks and autonomous systems that will redefine human-machine interaction. Collaborate with Nobel laureates in our state-of-the-art lab, where your innovations could power the next industrial revolution. This role offers unparalleled resources to explore uncharted territories in artificial intelligence, including quantum computing integration and ethical AI frameworks.

Responsibilities

  • Design and implement quantum neural networks for 2026-era autonomous systems
  • Lead research in explainable AI and bias mitigation algorithms
  • Develop prototypes for brain-computer interfaces and generative AI models
  • Collaborate with quantum hardware engineers to optimize AI-quantum hybrid systems
  • Publish findings in top-tier journals and present at global tech conferences
  • Mentor junior researchers in cutting-edge machine learning methodologies
  • Secure federal grants for futuristic AI research initiatives

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years research experience
  • Published work in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
  • Expertise in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
  • Proven track record in developing novel AI architectures for complex systems
  • Deep understanding of quantum algorithms and their computational advantages
  • Experience securing NSF/DARPA grants or equivalent funding
  • Strong background in AI ethics and responsible AI frameworks

Required Skills

Quantum Computing Neural Networks AI Research Machine Learning Quantum Algorithms PyTorch Qiskit Explainable AI Ethics in AI

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