Job Description
Shape the future at NeuroSync Labs, where we're pioneering breakthroughs in quantum-AI hybrid systems. We seek a visionary AI Research Scientist to lead cutting-edge projects in neural-symbolic integration and explainable AI. Join our interdisciplinary team at the intersection of neuroscience and machine learning to develop next-generation cognitive architectures.
Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for experimental research. You'll collaborate with Nobel laureates and industry disruptors while publishing in top-tier journals and contributing to open-source frameworks that define 2026's AI landscape.
Responsibilities
- Design novel neural-symbolic algorithms for explainable AI systems
- Lead quantum-enhanced machine learning model development
- Publish research in Nature/Science AI and top-tier conferences
- Mentor cross-functional teams in AI ethics and bias mitigation
- Develop patent-pending cognitive architectures for autonomous systems
- Collaborate with neuromorphic engineering teams on hardware integration
Qualifications
- PhD in AI, Computational Neuroscience, or Quantum Computing
- 5+ years in advanced ML research with top-tier publications
- Expertise in PyTorch/TensorFlow and quantum computing frameworks
- Strong background in neural-symbolic integration techniques
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Proven track record of translating research to production systems
- Deep understanding of AI safety and alignment frameworks