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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuroSync Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuroSync Systems at the forefront of cognitive AI innovation. We're pioneering next-generation neural interfaces that will redefine human-computer symbiosis by 2026. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum machine learning and neuromorphic computing, directly shaping how humanity interacts with artificial intelligence.

Our multidisciplinary team combines neuroscience expertise with cutting-edge hardware development. You'll collaborate with world-class neuroscientists, quantum computing specialists, and roboticists to prototype solutions that push the boundaries of consciousness emulation and adaptive learning systems.

Responsibilities

  • Design and implement novel quantum neural networks for real-time cognitive data processing
  • Develop adaptive learning algorithms that self-optimize using neuromorphic hardware
  • Lead research projects on consciousness emulation and human-AI symbiosis protocols
  • Create validation frameworks for ethical AI decision-making in high-stakes environments
  • Publish findings in peer-reviewed journals and present at global AI conferences
  • Mentor junior researchers in emerging quantum computing paradigms

Qualifications

  • PhD in Computer Science, Neuroscience, or Quantum Physics with 5+ years research experience
  • Published work in Nature/Science journals on machine learning or quantum computing
  • Expertise in TensorFlow Quantum, PyTorch, and neuromorphic computing frameworks
  • Proven track record of translating theoretical models to functional prototypes
  • Deep understanding of neuroplasticity and human-computer interaction principles
  • Experience with high-performance computing clusters and quantum annealing systems
  • Certification in AI ethics and responsible development frameworks

Required Skills

Quantum Machine Learning Neuromorphic Computing TensorFlow Quantum Cognitive AI Neural Interfaces Quantum Annealing Ethical AI High-Performance Computing

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