Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological frontier! We're pioneering AI systems that will redefine human-machine collaboration by 2026. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-enhanced machine learning and adaptive neural networks. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into tangible global impact.
Work alongside Nobel laureates and Turing Award winners in our state-of-the-art Quantum Computing Lab. We provide competitive equity packages, flexible R&D budgets, and dedicated time for blue-sky experimentation. Shape the algorithms that will power the next decade of human progress.
Responsibilities
- Design and implement next-gen AI architectures leveraging quantum computing principles
- Lead research in adaptive neural networks with self-evolving parameters
- Develop ethical frameworks for 2026's autonomous decision-making systems
- Pioneer human-AI symbiosis interfaces for seamless cognitive augmentation
- Collaborate with quantum hardware teams to optimize algorithmic implementations
- Publish breakthrough research in Nature/Science and top-tier AI conferences
- Mentor cross-functional teams in emerging AI paradigms
Qualifications
- PhD in AI, Quantum Computing, or Computational Neuroscience (or equivalent expertise)
- 5+ years in advanced ML research with 2+ publications in top-tier venues
- Proficiency in quantum machine learning frameworks (Cirq, Qiskit, PennyLane)
- Demonstrated experience with neuromorphic computing systems
- Expertise in ethical AI governance and bias mitigation techniques
- Strong background in computational complexity theory
- Portfolio of deployed systems impacting >1M users