Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking an AI Research Scientist to pioneer breakthroughs in quantum computing integration and generative AI systems. Shape the future by developing algorithms that will redefine industries, solve humanity's grand challenges, and power the next wave of innovation. Our state-of-the-art facility in San Francisco offers unparalleled resources for your groundbreaking research.
This role is ideal for visionaries who thrive at the intersection of theoretical science and practical application. Collaborate with Nobel laureates, publish in top-tier journals, and see your work transform from lab to market impact within 18 months. If you're ready to build the foundations of tomorrow's intelligent systems, this is your calling.
Responsibilities
- Lead research in quantum machine learning architectures for 2026-era computational challenges
- Develop novel generative AI systems capable of autonomous scientific discovery
- Design and implement neural networks operating at quantum-coherence thresholds
- Collaborate with hardware engineers to optimize AI-quantum hybrid systems
- Publish 2+ high-impact papers annually in Nature/Science/NeurIPS venues
- Mentor cross-functional teams in translating research into commercial applications
- Secure $1M+ in annual research grants through compelling proposals
Qualifications
- PhD in Computer Science/AI/Physics with focus on quantum computing or generative models
- 3+ years of experience in quantum algorithm development or advanced NLP systems
- Published research in top-tier AI/quantum conferences (NeurIPS, ICML, APS)
- Expertise in TensorFlow Quantum, Qiskit, or similar quantum ML frameworks
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to secure research funding from NSF/DARPA/industry partners
- Deep understanding of 2026 technology roadmap and emerging AI paradigms