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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuroSync Technologies
San Francisco
Estimated Salary
USD 220.000 – USD 380.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NeuroSync Technologies at the forefront of 2026's AI revolution. We're pioneering neural-quantum computing interfaces that will redefine human-machine symbiosis. As a Senior AI Research Scientist, you'll architect breakthrough algorithms for our next-gen cognitive augmentation platform. Our lab operates at the intersection of biocomputing, generative adversarial networks, and ethical AI governance. Work alongside Nobel laureates in our state-of-the-art facility overlooking the Bay, where every discovery accelerates humanity's leap toward post-scarcity intelligence.

Responsibilities

  • Design and implement neural-symbolic AI architectures for real-time cognitive processing
  • Lead cross-functional research teams in developing explainable AI frameworks
  • Collaborate with quantum engineers to create hybrid classical-quantum machine learning models
  • Author peer-reviewed publications on novel AI paradigms and publish findings at top-tier conferences
  • Develop ethical governance protocols for autonomous decision-making systems
  • Prototype AI solutions using federated learning and differential privacy techniques
  • Mentor junior researchers in advanced deep learning methodologies

Qualifications

  • PhD in Computer Science, AI, or Computational Neuroscience with 5+ years industry experience
  • Published record in NeurIPS/ICML/ICLR with citations >500
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit/Cirq)
  • Demonstrated experience deploying AI systems at >10M user scale
  • Strong background in AI ethics, bias mitigation, and regulatory compliance (GDPR/CCPA)
  • Ability to translate complex research into patentable innovations

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python PyTorch TensorFlow Research Ethics AI Governance

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