Job Description
Join QuantumLeap Dynamics at the forefront of 2026 technological evolution as an AI Research Scientist. We're pioneering next-generation quantum-AI hybrid systems that will redefine computational boundaries. In this pivotal role, you'll architect breakthrough solutions in autonomous machine learning, neural-quantum interfaces, and predictive modeling for climate resilience. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into tangible, world-changing applications. If you're passionate about solving humanity's most complex challenges through cutting-edge AI, this is your moment to shape the future.
Responsibilities
- Develop proprietary algorithms for quantum-enhanced machine learning models
- Lead research initiatives in autonomous neural-network optimization
- Collaborate with quantum computing teams on hybrid system architectures
- Author breakthrough research papers for top-tier AI journals
- Design predictive frameworks for climate impact mitigation
- Mentor junior researchers in emerging AI paradigms
- Secure patents for novel AI-quantum integration methodologies
Qualifications
- PhD in Computer Science, AI, or Quantum Information Science
- 5+ years in advanced AI research with peer-reviewed publications
- Expertise in TensorFlow, PyTorch, and quantum computing frameworks
- Proven experience with neural-quantum hybrid systems
- Strong background in climate modeling or computational physics
- Exceptional problem-solving in complex multi-variable systems
- Track record of translating research into commercial applications