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AI Research Scientist - 2026 Vision

NeuroSphere Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join NeuroSphere Labs at the forefront of cognitive AI innovation. We're seeking a visionary AI Research Scientist to architect the next generation of autonomous systems for our 2026 roadmap. This role offers unparalleled opportunity to shape human-machine symbiosis through cutting-edge neural networks and quantum-inspired algorithms.

Our team operates at the intersection of neuroscience and machine learning, developing solutions that redefine technological boundaries. You'll collaborate with Nobel laureates and industry pioneers in a culture that values audacious thinking and rigorous experimentation.

Responsibilities

  • Design and implement advanced neural architectures for unsupervised learning systems
  • Lead breakthrough research in explainable AI and ethical machine learning frameworks
  • Develop quantum-inspired algorithms for next-gen autonomous decision-making
  • Publish top-tier research in Nature/Science journals and present at NeurIPS/ICML
  • Mentor cross-functional teams in AI implementation and validation methodologies
  • Secure $5M+ in DARPA/NASA grants for 2026-era AI initiatives

Qualifications

  • PhD in Computer Science, AI, or Computational Neuroscience (or equivalent experience)
  • 5+ years in advanced ML research with peer-reviewed publications
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of translating research into production-scale systems
  • Familiarity with neuro-symbolic integration and neuromorphic computing
  • Strong background in AI ethics and responsible AI frameworks
  • Experience securing federal research grants preferred

Required Skills

Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Quantum Computing Research Ethics Grant Writing Distributed Systems Neuro-Symbolic AI

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