Job Description
Join QuantumLeap Technologies at the forefront of 2026 innovation! We're seeking a pioneering AI Research Scientist to architect next-generation machine learning systems that will redefine human-computer interaction. Our interdisciplinary team in San Francisco is building autonomous quantum computing frameworks and neural-semantic interfaces for global enterprise clients.
As a key innovator, you'll collaborate with Nobel laureates and NASA engineers to develop predictive algorithms for climate modeling, personalized medicine, and interstellar navigation protocols. This role offers unparalleled access to our $500M R&D lab featuring quantum processors and neuromorphic computing infrastructure.
Responsibilities
- Design and implement cutting-edge neural networks for quantum-classical hybrid systems
- Lead cross-continental research initiatives in generative AI and autonomous decisioning
- Develop ethical AI frameworks for regulatory compliance across 15+ jurisdictions
- Pioneer human-AI symbiosis interfaces using brain-computing integration protocols
- Author breakthrough publications in Nature/Science journals with 95%+ acceptance rate
- Mentorate postdoctoral fellows in our 2026 AI Ethics Fellowship program
- Secure $10M+ in research grants from NSF and DARPA partnerships
Qualifications
- PhD in Quantum Computing, Cognitive AI, or Theoretical Machine Learning
- 8+ years developing production-level AI systems with 99.99% reliability
- Published 15+ peer-reviewed papers in top-tier AI/quantum journals
- Expertise in TensorFlow Quantum, Cirq, and D-Wave quantum annealing
- Proficiency in neuromorphic computing (Intel Loihi, IBM TrueNorth)
- Fluency in Python, Rust, and quantum assembly languages
- Active security clearance for DoD/NASA collaborative projects
- Proven track record of commercializing AI innovations with $50M+ impact