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2026 Senior AI Research Scientist

NeuroSync Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Join NeuroSync Labs at the forefront of cognitive AI development! We're pioneering 2026-ready neural interfaces that will revolutionize human-computer interaction. As our Senior AI Research Scientist, you'll architect breakthrough models for adaptive learning systems while collaborating with Nobel laureates and top-tier engineers. Enjoy unparalleled benefits including unlimited R&D budget, flexible remote work, and equity in a unicorn-backed startup.

What You'll Achieve:
• Lead development of next-generation neural networks
• Publish groundbreaking research in top-tier journals
• Mentor a team of PhD-level researchers
• Shape the ethical framework for 2026 AI deployment

Responsibilities

  • Design and implement cutting-edge deep learning architectures for real-time cognitive processing
  • Lead cross-functional projects integrating AI with quantum computing systems
  • Secure $5M+ in annual research grants through NSF and DARPA proposals
  • Develop patent-pending algorithms for brain-computer interfaces
  • Present findings at global AI conferences (NeurIPS, ICML)
  • Collaborate with neuroscientists to validate AI models against fMRI data
  • Establish industry benchmarks for 2026 AI safety standards

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field (or equivalent experience)
  • 5+ years developing production-level neural networks with TensorFlow/PyTorch
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in reinforcement learning and generative adversarial networks
  • Proven track record of securing federal research grants
  • Experience with neuromorphic computing hardware (IBM TrueNorth, Loihi)
  • Strong background in computational neuroscience and psychometrics
  • Fluency in Python, C++, and quantum programming languages (Q#)

Required Skills

AI Research Deep Learning Quantum Computing Neural Networks Reinforcement Learning TensorFlow PyTorch Cognitive Science Neuromorphic Computing Grant Writing

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