Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect next-generation artificial intelligence systems that will redefine industries. Collaborate with Nobel laureates and disruptors in our state-of-the-art Austin hub, where your work will directly shape humanity's digital future.
Our ideal candidate thrives at the intersection of theoretical breakthroughs and practical implementation. You'll develop novel algorithms for autonomous systems, quantum-AI hybrids, and ethical frameworks for AGI development. This role offers unparalleled resources including our 2026 Quantum Computing Lab and direct access to emerging datasets.
Responsibilities
- Design and implement cutting-edge AI models for predictive analytics and autonomous decision-making
- Lead cross-functional R&D initiatives in quantum-AI convergence and neuromorphic computing
- Publish breakthrough research in top-tier journals/conferences (NeurIPS, ICML)
- Architect ethical AI governance frameworks for 2026 regulatory landscapes
- Mentor PhD researchers and drive open-source contributions to AI safety initiatives
- Collaborate with futurists to align research with 10-year technological roadmaps
Qualifications
- PhD in Computer Science, Machine Learning, or related field (exceptional MS candidates with 5+ years experience considered)
- Proven expertise in transformer architectures, reinforcement learning, and distributed ML systems
- Publication record at premier AI conferences with 3+ first-author papers
- Proficiency in PyTorch/TensorFlow, quantum computing frameworks (Qiskit), and high-performance computing
- Demonstrated experience bridging theoretical research and production-scale deployment
- Deep understanding of 2026 AI ethics landscape and regulatory frameworks
- Portfolio showcasing 2+ deployed AI systems with measurable industry impact