Job Description
Join NeuroSynth Labs at the forefront of 2026's AI revolution. We're pioneering neural-network architectures that will redefine human-machine collaboration. As an AI Research Scientist, you'll develop breakthrough algorithms for our flagship quantum-entangled computing platform, pushing the boundaries of generative AI and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for innovation, including access to exascale computing clusters and cross-disciplinary collaboration with quantum physicists and neuroscientists.
Responsibilities
- Design and implement novel neural architectures for 2026-era quantum computing environments
- Lead research in generative AI and unsupervised learning for autonomous decision systems
- Collaborate with quantum engineers to optimize algorithms for entangled processing cores
- Develop ethical frameworks for AI governance in high-stakes industrial applications
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers in advanced machine learning methodologies
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry research experience
- Expertise in transformer architectures and quantum machine learning algorithms
- Proven track record of publishing in NeurIPS/ICML/AAAI or equivalent venues
- Strong programming skills in Python, C++, and quantum computing frameworks
- Familiarity with ethical AI frameworks and bias mitigation techniques
- Experience with distributed computing clusters (HPC/Cloud) and large-scale data pipelines