Job Description
Join QuantumLeap Labs at the forefront of technological evolution for 2026. We're pioneering AI systems that redefine human-machine collaboration, seeking visionary researchers to architect the future of intelligent automation. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into scalable solutions.
This role demands interdisciplinary expertise in quantum computing, neural networks, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors while working on projects with global impact. We offer competitive compensation, flexible hybrid work arrangements, and a comprehensive benefits package including equity participation.
Responsibilities
- Design and implement advanced AI algorithms for next-generation autonomous systems
- Lead research initiatives in quantum machine learning and neural network optimization
- Develop predictive models for complex systems with 10,000+ variable interactions
- Collaborate with hardware teams to optimize AI-quantum computing interfaces
- Publish breakthrough research in top-tier AI/quantum journals and conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure $5M+ in research grants through innovative project proposals
Qualifications
- PhD in Computer Science, AI, Quantum Physics, or related field (or equivalent experience)
- 5+ years of hands-on experience in deep learning frameworks (PyTorch/TensorFlow)
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Expertise in quantum computing algorithms and hardware-software integration
- Proven track record of developing production-level AI systems at scale
- Strong background in statistical modeling and computational complexity theory
- Experience securing government/private research funding