Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're seeking an exceptional AI Research Scientist to architect the next generation of autonomous systems and quantum-entangled neural networks. In this pivotal role, you'll collaborate with Nobel laureates and disrupt industries through breakthrough research in generative AI, sustainable computing, and human-machine symbiosis.
Our state-of-the-art San Francisco campus offers unparalleled resources: exascale computing clusters, neuro-interactive labs, and direct partnerships with MIT and Stanford. We provide comprehensive benefits including equity, relocation assistance, and a $20,000 annual innovation stipend. Shape the future while enjoying flexible work arrangements, wellness programs, and dedicated research sabbaticals.
Responsibilities
- Design and deploy quantum-resistant ML algorithms for autonomous decision-making systems
- Lead cross-functional research initiatives in neuromorphic computing and brain-computer interfaces
- Develop ethical frameworks for AI governance in post-2025 regulatory landscapes
- Author breakthrough publications in Nature/Science and keynote global tech summits
- Architect sustainable AI infrastructure achieving 99.9% energy efficiency
- Mentor PhD candidates and pioneer open-source research initiatives
- Collaborate with policy councils on AI safety protocols and global alignment strategies
Qualifications
- PhD in Quantum Computing, Advanced AI, or related field with 5+ years industry experience
- Expertise in transformer architectures, federated learning, and quantum machine learning
- Published research in top-tier venues (NeurIPS, ICML, or equivalent) with >1000 citations
- Proficiency in PyTorch, TensorFlow Quantum, and Cirq frameworks
- Demonstrated experience building production-grade AI systems at scale
- Deep understanding of AI ethics, bias mitigation, and responsible innovation
- Strong background in computational neuroscience or bio-inspired AI