Job Description
Shape the future of artificial intelligence at QuantumLeap Labs. We're pioneering breakthroughs in quantum-AI hybrid systems to solve 2026's most complex challenges. Join our elite research team at the intersection of theoretical physics and machine learning, where your work will directly influence the next decade of technological evolution. Our state-of-the-art facility in San Francisco offers unparalleled resources for pushing AI boundaries.
Responsibilities
- Lead research on quantum-neural network architectures for 2026-scale computational challenges
- Develop novel algorithms for ethical AI governance and bias mitigation
- Collaborate with hardware teams to optimize quantum-AI co-design systems
- Publish findings in top-tier AI/quantum computing journals and conferences
- Mentor junior researchers and cross-functional AI engineering teams
- Secure federal and private research grants for frontier AI projects
- Translate theoretical models into scalable production prototypes
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent research experience)
- 5+ years in advanced AI research with quantum computing exposure
- Published work in NeurIPS, ICML, or Nature Physics (2020-2023)
- Expertise in PyTorch, TensorFlow, and quantum simulation frameworks
- Proven track record of translating research to commercial applications
- Deep understanding of ethical AI frameworks and regulatory landscapes
- Strong background in theoretical physics and computational complexity