Job Description
Join NeuroSync Labs at the forefront of cognitive AI innovation. We're pioneering next-generation neural interfaces that will redefine human-machine collaboration by 2026. As an AI Research Scientist, you'll develop groundbreaking algorithms to accelerate our brain-computing interface platform, working with a world-class team in our state-of-the-art Austin facility. Your research will directly impact healthcare, accessibility, and human augmentation technologies that will shape the coming decade.
Responsibilities
- Design and implement advanced deep learning models for neural signal processing
- Lead cross-functional teams in prototyping brain-computing interfaces
- Publish peer-reviewed research in top-tier AI/neuroscience journals
- Optimize real-time inference pipelines for low-latency neural decoding
- Collaborate with neuroscientists to validate AI models against clinical data
- Drive open-source initiatives to accelerate AI/neuroscience convergence
Qualifications
- PhD in Computer Science, Neuroscience, or related field (or equivalent experience)
- 3+ years of applied research in deep learning or neural networks
- Expertise in PyTorch/TensorFlow and high-performance computing
- Published record in neural signal processing or cognitive modeling
- Strong background in statistical analysis and experimental design
- Experience with EEG/MEG data processing preferred
- Ability to translate complex research into practical applications