Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to architect next-generation neural networks and quantum-AI hybrids. This role offers unparalleled opportunity to shape humanity's digital future in our state-of-the-art San Francisco hub. You'll collaborate with Nobel laureates and disrupt industries through groundbreaking research.
Responsibilities
- Design and implement quantum-resistant AI algorithms for 2026-era applications
- Lead cross-functional teams in developing ethical AI frameworks for autonomous systems
- Publish 3+ peer-reviewed papers annually in top-tier AI journals
- Prototype neural-quantum computing architectures for real-time data processing
- Advise Fortune 500 clients on AI transformation roadmaps
- Secure $2M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates in quantum machine learning specialization
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (2020-2026)
- 5+ years experience in neural network optimization at scale
- Published research in Nature/Science on quantum-AI integration
- Proficiency in TensorFlow Quantum and Cirq frameworks
- Expertise in ethical AI governance frameworks (EU AI Act, NIST RMF)
- Patents in quantum machine learning algorithms
- Fluency in Python, Rust, and quantum assembly languages
- Experience with 100+ qubit quantum processors