Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering breakthroughs in quantum-entangled AI systems that will redefine human-computer interaction. As an AI Research Scientist, you'll architect the next generation of autonomous decision-making frameworks for Fortune 500 clients in healthcare, logistics, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources including quantum computing clusters and neuro-symbolic research environments.
Be part of a team that doesn't just predict the future—we build it. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated innovation sabbaticals. Shape the AI landscape that will transform industries by 2026.
Responsibilities
- Design and implement novel neural architectures for quantum-enhanced machine learning models
- Lead cross-functional projects to develop explainable AI frameworks for high-stakes industries
- Collaborate with neuroscientists to create brain-inspired computing paradigms
- Publish research in top-tier AI/quantum computing journals and conferences
- Mentor junior researchers while maintaining publication record in top-tier venues
- Translate theoretical breakthroughs into production-ready systems with 99.99% reliability
- Secure $2M+ in annual research grants from DARPA and NSF
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 3+ years industry experience
- Published 10+ peer-reviewed papers in Nature/Science or top-tier ML venues
- Expertise in quantum machine learning frameworks (Qiskit, PennyLane) and tensor networks
- Proficiency in Python, TensorFlow, PyTorch, and distributed computing (Ray, Dask)
- Experience deploying AI systems in regulated environments (HIPAA, FDA compliance)
- Demonstrated success in securing government research funding
- Portfolio of open-source contributions with 5K+ GitHub stars
- Fluency in neuro-symbolic programming frameworks (DeepProbLog, Neuro-Symbolic Transformers)