Job Description
Join QuantumLeap Labs at the forefront of artificial intelligence innovation! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies for our ambitious 2026 roadmap. Shape the future of machine learning, quantum computing integration, and autonomous systems in a collaborative environment that celebrates bold thinking and technical excellence.
As part of our elite research division, you'll work alongside Nobel laureates and Turing Award winners to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum processors and petascale computing infrastructure. This isn't just a job—it's your chance to define the next decade of technological advancement.
Responsibilities
- Lead cutting-edge research in quantum machine learning and neuromorphic computing
- Develop novel AI algorithms for autonomous systems with 99.99% reliability
- Collaborate with hardware engineers to optimize AI-quantum hybrid architectures
- Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML)
- Secure $5M+ in research grants from DARPA and NSF for 2026 initiatives
- Mentor PhD candidates and postdoctoral researchers
- Translate theoretical innovations into scalable production-ready solutions
Qualifications
- PhD in Computer Science, Mathematics, or Physics from top-tier institution
- 5+ years of research experience in quantum AI or deep learning
- Published 15+ peer-reviewed papers in ML/quantum journals
- Expertise in TensorFlow/PyTorch and quantum programming frameworks
- Proven track record of securing government research grants
- Strong background in computational complexity theory
- Experience with neuromorphic hardware (IBM TrueNorth, Loihi)
- Exceptional problem-solving skills for unsolved mathematical challenges