Job Description
Join NeuroSynth Labs at the forefront of cognitive AI innovation. As we pioneer breakthroughs in neural-computing interfaces for 2026, we seek an AI Research Scientist to architect the next generation of adaptive intelligence systems. You'll collaborate with Nobel-caliber minds to transform theoretical models into scalable solutions that redefine human-machine symbiosis. Our San Francisco hub offers unparalleled resources, including quantum-accelerated supercomputing and exclusive partnerships with MIT and Stanford.
This role is perfect for visionaries who thrive at the intersection of neuroscience, deep learning, and ethical AI deployment. You'll lead projects with global impact while enjoying competitive equity, flexible R&D budgets, and access to our state-of-the-art neuro-visualization labs.
Responsibilities
- Architect next-gen neural-computing frameworks using transformer architectures and spiking neural networks
- Lead cross-functional teams in developing ethical AI alignment protocols for 2026 deployment
- Publish 2+ peer-reviewed papers in Nature/Science journals annually
- Optimize quantum-enhanced ML pipelines for real-time cognitive pattern recognition
- Collaborate with neuroscientists to model brain-inspired learning algorithms
- Translate research prototypes into production-grade systems with 99.99% reliability
- Mentor PhD candidates in AI ethics and explainable AI methodologies
Qualifications
- PhD in Machine Learning, Computational Neuroscience, or related field (2020-2026 graduates encouraged)
- 3+ years of experience with PyTorch/TensorFlow and distributed training frameworks
- Published research in top-tier AI/neuroscience conferences (NeurIPS, ICML, CNS)
- Expertise in quantum machine learning algorithms and error correction
- Proficiency in neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
- Strong background in causal inference and adversarial robustness
- Demonstrated ability to secure federal grants (NSF, DARPA, NIH) for AI research