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. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-entangled neural networks and autonomous decision frameworks. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications.
We seek visionaries who thrive at the intersection of quantum computing, synthetic data generation, and ethical AI. Your work will directly impact industries from healthcare to climate modeling, shaping how humanity interacts with intelligent systems in the coming decade.
Responsibilities
- Design and implement quantum-enhanced AI models using proprietary QML frameworks
- Lead cross-functional teams to develop autonomous reasoning systems for 2026-era applications
- Architect synthetic data generation pipelines for training next-gen neural networks
- Collaborate with ethics councils to establish AI governance protocols for quantum systems
- Publish groundbreaking research in top-tier journals and industry whitepapers
- Drive innovation in neuromorphic computing architectures for edge deployment
- Mentor junior researchers in emerging AI paradigms and quantum machine learning
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record publishing in Nature/Science or NeurIPS/ICML venues
- Deep knowledge of transformer architectures and attention mechanisms
- Proficiency in Python, TensorFlow, PyTorch, and quantum programming languages
- Experience with distributed computing on quantum-classical hybrid systems
- Demonstrated ability to translate complex theoretical concepts into production-ready solutions
- Strong background in AI ethics and responsible AI frameworks