Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we redefine the landscape of artificial intelligence. As our 2026 AI Research Lead, you'll architect breakthrough solutions that will shape the next decade of human-machine collaboration. We're seeking a visionary leader to pioneer ethical AI frameworks, develop quantum-inspired algorithms, and mentor the next generation of innovators in our state-of-the-art Austin research center.
Our culture thrives on intellectual curiosity and bold experimentation. You'll collaborate with Nobel laureates, industry disruptors, and government partners to solve humanity's most pressing challenges through responsible AI innovation. This role offers unparalleled opportunities to influence global tech policy and contribute to projects with worldwide impact.
Responsibilities
- Lead strategic research initiatives in generative AI, quantum computing, and neural network optimization
- Develop patent-pending algorithms for 2026-era autonomous systems and predictive analytics
- Oversee cross-functional teams of 15+ researchers in agile development environments
- Present breakthrough findings at global forums including AI Ethics Summit and TechCon 2026
- Collaborate with UN AI Advisory Board on regulatory frameworks for next-gen AI
- Secure $10M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates and publish in Nature/Science journals
Qualifications
- PhD in Machine Learning, Quantum Computing, or related field with 10+ years industry experience
- Proven track record of developing production-level AI systems serving 10M+ users
- Expertise in transformer architectures, federated learning, and quantum machine learning
- Published 50+ peer-reviewed papers with h-index >40
- Experience securing federal research grants ($5M+)
- Deep knowledge of EU AI Act and NIST AI RMF frameworks
- Fluency in Python, PyTorch, and quantum programming languages (Qiskit)
- Exceptional leadership experience managing multidisciplinary research teams