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-machine learning integration. Shape the future of autonomous systems, neural-symbolic AI, and ethical AI frameworks that will redefine industries by 2026. Work in our state-of-the-art San Francisco lab with unparalleled resources and collaborate with Nobel laureates and Turing Award winners.
As a 2026 Visionary, you'll lead projects that bridge quantum computing and neural networks, developing algorithms capable of solving previously intractable problems. Our culture celebrates audacious innovation with 20% dedicated time for moonshot research. Enjoy comprehensive benefits including equity, unlimited PTO, and relocation assistance for global talent.
Responsibilities
- Design quantum-enhanced machine learning models for 2026-scale data processing
- Lead cross-functional teams in developing ethical AI governance frameworks
- Publish groundbreaking research in Nature/Science journals and top AI conferences
- Prototype neural-symbolic AI systems combining deep learning with symbolic reasoning
- Collaborate with quantum hardware teams to optimize algorithm-hardware co-design
- Mentor PhD researchers and contribute to open-source AI initiatives
- Secure $5M+ in NSF/DARPA grants for 2026-focused research projects
Qualifications
- PhD in Computer Science, Quantum Computing, or Machine Learning with 3+ years postdoc experience
- Expertise in quantum machine learning, variational quantum circuits, and tensor networks
- Proven track record of publications in NeurIPS/ICML/ICLR with >100 citations
- Mastery of Python, TensorFlow Quantum, PennyLane, and quantum simulators
- Experience with ethical AI frameworks (EU AI Act, NIST RMF) implementation
- Strong background in neural-symbolic AI and hybrid quantum-classical systems
- Exceptional ability to translate complex research into commercial applications