Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction by the end of this decade. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum-enhanced machine learning and neural-network optimization. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications that impact billions.
We provide competitive equity packages, flexible remote work options, and a collaborative environment where your ideas can shape the future. If you're passionate about solving humanity's most complex challenges through cutting-edge AI, this is your opportunity to leave an indelible mark on 2026's technological landscape.
Responsibilities
- Design and implement novel quantum machine learning architectures for 2026-era applications
- Lead cross-functional teams to prototype AI solutions in autonomous systems and predictive analytics
- Publish breakthrough research in top-tier AI journals and industry conferences
- Collaborate with hardware engineers to optimize AI models for next-gen quantum processors
- Mentor junior researchers and establish departmental research standards
- Secure patents for proprietary AI methodologies with 2026 commercialization potential
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Proven ability to translate complex mathematical concepts into production-grade systems
- Strong background in neural architecture search and federated learning
- Experience securing government/DoD research grants for AI initiatives
- Portfolio demonstrating AI systems deployed at scale (>10M users)