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AI/ML Research Scientist - 2026 Vision

NeuroTech Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join NeuroTech Systems at the forefront of 2026's AI revolution! We're pioneering next-generation neural interfaces that will redefine human-computer interaction. As an AI/ML Research Scientist, you'll architect breakthrough algorithms for our flagship NeuroSync 2026 platform – transforming brainwave data into actionable insights while maintaining ethical AI standards. Work alongside Nobel laureates in our state-of-the-art neuro-quantum lab, where we're decoding consciousness patterns and developing empathic AI systems.

Your Impact: Your research will directly shape the future of personalized neuro-therapeutics and adaptive human augmentation technologies. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation.

Responsibilities

  • Design and implement cutting-edge deep learning architectures for neural signal processing
  • Lead cross-functional R&D teams in developing 2026's adaptive AI ethics frameworks
  • Publish breakthrough research in top-tier AI/neuroscience journals
  • Collaborate with neurosurgeons to validate real-time brain-computer interfaces
  • Optimize quantum-enhanced ML models for edge deployment in medical devices
  • Mentor junior researchers in neuro-symbolic AI integration techniques
  • Secure $2M+ in annual research grants for experimental validation

Qualifications

  • PhD in Computer Science, Neuroscience, or Quantum Computing (or equivalent experience)
  • 5+ years developing production-grade neural networks with PyTorch/TensorFlow
  • Published research in IEEE Transactions on Neural Systems or Nature Machine Intelligence
  • Expertise in brainwave analysis (EEG/MEG) and neuromorphic computing
  • Proficient in quantum machine learning frameworks (Qiskit, PennyLane)
  • Strong background in federated learning for healthcare data
  • Demonstrated experience with FDA-regulated AI medical device development

Required Skills

Deep Learning Quantum Computing Neural Interfaces Brain-Computer Interfaces PyTorch TensorFlow Qiskit EEG Analysis Federated Learning Neuro-Symbolic AI Medical Device AI

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