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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

NeuroSync Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join NeuroSync Labs at the forefront of AI innovation as we build the intelligence landscape of 2026. We're seeking a visionary AI Research Scientist to pioneer breakthroughs in neural networks and human-machine collaboration. Our multidisciplinary team operates at the intersection of quantum computing and cognitive science, developing systems that will redefine human potential. Enjoy unparalleled resources, a culture of radical curiosity, and the opportunity to shape tomorrow's technology today.

Responsibilities

  • Lead pioneering research in adaptive neural networks and quantum-entangled AI systems
  • Develop next-generation cognitive interfaces for seamless human-AI symbiosis
  • Architect ethical AI frameworks aligned with 2026 regulatory landscapes
  • Collaborate with neuroscientists to reverse-engineer human learning algorithms
  • Validate AI models in simulated 2030 operational environments
  • Publish breakthrough research in top-tier AI and quantum computing journals
  • Mentor cross-disciplinary teams in emergent AI paradigms

Qualifications

  • PhD in Computer Science, Cognitive Neuroscience, or Quantum Computing with 5+ years research experience
  • Expertise in transformer architectures, quantum machine learning, and neuromorphic computing
  • Proven track record of peer-reviewed publications in NeurIPS/ICML/ICLR
  • Mastery of PyTorch, TensorFlow Quantum, and distributed quantum computing frameworks
  • Deep understanding of AGI safety protocols and ethical AI governance
  • Experience with neuromorphic hardware (Loihi, SpiNNaker) and quantum annealers
  • Exceptional ability to translate complex concepts into actionable engineering solutions

Required Skills

Artificial Intelligence Quantum Computing Cognitive Science Machine Learning Neural Networks Ethics Research Python TensorFlow PyTorch

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