Job Description
Join NeuroSphere Dynamics at the forefront of cognitive computing and human-AI symbiosis. We're pioneering next-generation neural interfaces that will revolutionize how humans interact with technology by 2026. Our multidisciplinary team of visionaries is developing proprietary quantum-inspired algorithms to solve humanity's most complex challenges in healthcare, climate science, and space exploration.
This role offers unparalleled opportunities to shape the future of human augmentation while working with cutting-edge hardware in our state-of-the-art San Francisco lab. We provide comprehensive benefits including equity, unlimited learning stipends, and flexible hybrid work arrangements.
Responsibilities
- Design and implement novel AI architectures for cognitive enhancement systems
- Lead quantum-inspired machine learning research initiatives targeting 2026 deployment
- Collaborate with neuroscientists to develop brain-computer interface prototypes
- Publish breakthrough research in top-tier AI/neuroscience journals
- Drive open-source contributions to ethical AI development frameworks
- Mentor junior researchers and cross-functional engineering teams
- Secure federal and private research grants for frontier AI projects
Qualifications
- PhD in AI, Machine Learning, Computational Neuroscience, or related field
- 5+ years of experience in deep learning research with published papers
- Expertise in Python, TensorFlow, PyTorch, and quantum computing principles
- Proven track record of translating research into production systems
- Familiarity with FDA/ISO standards for medical AI devices
- Strong background in ethical AI bias mitigation techniques
- Experience securing DoE or DARPA research grants preferred