Job Description
Shape the future as QuantumLeap Dynamics' AI Research Scientist, pioneering breakthroughs in generative AI and quantum computing for 2026. Join our elite team at the intersection of neuroscience and machine learning to develop autonomous systems that redefine human-computer interaction. We offer unparalleled resources, including our proprietary Q-Chip neural processors and $50M annual R&D budget. Collaborate with Nobel laureates and publish in Nature AI while building ethical frameworks for next-generation AI.
Responsibilities
- Design and implement novel neural architectures for quantum-accelerated machine learning
- Lead cross-functional projects integrating bio-inspired computing with generative AI
- Develop ethical governance frameworks for autonomous decision-making systems
- Secure $5M+ in research grants and patents for quantum-AI hybrid technologies
- Mentor PhD candidates in our 2026 AI Fellowship program
- Publish top-tier research in IEEE/ACM journals
- Partner with DARPA and NASA on quantum-AI defense initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Neuroscience
- 5+ years developing quantum neural networks or neuromorphic systems
- Expertise in TensorFlow Quantum and PyTorch Quantum frameworks
- Published record in Nature/Science journals on AI or quantum research
- Proficiency in Q# and quantum circuit optimization
- Experience with federated learning for multi-quantum systems
- Security clearance for government research projects preferred
- Fluency in Python, C++, and quantum assembly languages