Job Description
Join NeuroSynth Labs at the forefront of cognitive AI development! We're pioneering neural-interface technologies that will redefine human-machine collaboration by 2026. As an AI Research Scientist, you'll architect breakthrough models for adaptive neural networks while working in our state-of-the-art neuro-digital lab. Enjoy competitive equity packages, flexible R&D budgets, and collaboration with Nobel laureates. Your work will directly contribute to FDA-approved neural prosthetics and next-generation AI consciousness frameworks.
Responsibilities
- Design and implement novel neural network architectures for real-time brain-computer interfaces
- Lead quantum machine learning initiatives for predictive neuro-pattern analysis
- Develop ethical AI frameworks for autonomous decision-making systems
- Collaborate with neuroscientists on biologically-inspired learning algorithms
- Secure $2M+ in government/industry grants for 2026 innovation projects
- Mentor cross-disciplinary teams of engineers and cognitive psychologists
- Author white papers on neural AI convergence for IEEE journals
Qualifications
- PhD in Machine Learning, Neuroscience, or Computational Biology
- 5+ years in neural network development with TensorFlow/PyTorch
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Expertise in quantum computing algorithms and neuromorphic engineering
- Proficiency in EEG/MEG data processing and fMRI analysis
- Strong background in ethical AI governance frameworks
- Track record of securing federal research grants (NIH, NSF, DARPA)