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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

NeuroSynth Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join NeuroSynth Labs at the forefront of cognitive computing and shape the future of human-AI collaboration. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will redefine how humanity interacts with artificial intelligence by 2026. Our state-of-the-art facility in San Francisco offers an unparalleled environment to explore neural networks, quantum-inspired algorithms, and ethical AI frameworks.

This role offers unprecedented access to our $500M R&D fund and collaboration with Nobel laureates. You'll lead projects that directly impact healthcare diagnostics, climate modeling, and sustainable energy solutions. Our culture champions intellectual curiosity with 20% dedicated time for speculative research.

Responsibilities

  • Architect next-generation neural networks for 2026-era applications
  • Lead cross-disciplinary teams in quantum-AI hybrid system development
  • Publish breakthrough research in top-tier AI journals and conferences
  • Design ethical frameworks for autonomous decision-making systems
  • Mentor PhD researchers and foster innovation through hackathons
  • Secure $2M+ in annual research grants from federal and corporate partners

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field (or equivalent experience)
  • 5+ years in advanced AI research with peer-reviewed publications
  • Expertise in transformer architectures, federated learning, and neuromorphic computing
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Demonstrated experience leading multi-institutional research projects
  • Published work at NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in AI ethics and regulatory compliance

Required Skills

Machine Learning Deep Learning Neural Networks Quantum Computing PyTorch TensorFlow AI Ethics Federated Learning Cognitive Science Research Leadership

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