Job Description
Join NeuroFusion Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation neural networks that will redefine human-machine interaction. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum-enhanced machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources for your research, including access to our quantum computing cluster and neuroimaging labs. We provide comprehensive benefits, equity, and the freedom to pursue revolutionary ideas that will shape the next decade of innovation.
Responsibilities
- Lead cutting-edge research in quantum-enhanced neural networks and adaptive AI systems
- Develop novel algorithms for real-time cognitive computing and predictive analytics
- Collaborate with cross-functional teams to implement research prototypes in production environments
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation through weekly hackathons
- Secure patents and intellectual property for breakthrough technologies
- Stay ahead of emerging trends in neuromorphic computing and edge AI
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years of industry experience
- Published research in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Proven track record of deploying production-scale AI systems with measurable impact
- Strong background in reinforcement learning and transfer learning
- Experience with neuromorphic hardware (IBM TrueNorth, Intel Loihi)
- Ability to secure $1M+ in research funding through grants and partnerships