Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking an AI Research Scientist to architect next-generation neural networks and quantum-computing hybrid systems. This role offers unparalleled opportunities to shape humanity's digital future while working in our state-of-the-art Austin innovation hub. You'll collaborate with Nobel laureates and disruptors redefining machine learning paradigms.
We offer competitive equity packages, flexible hybrid work, and access to our $500M R&D fund. Ideal candidates thrive in ambiguity and possess the vision to transform theoretical concepts into breakthrough applications.
Responsibilities
- Design and implement novel AI architectures leveraging quantum computing principles
- Lead cross-disciplinary research initiatives in generative adversarial networks and federated learning
- Develop ethical AI frameworks for autonomous decision-making systems
- Pioneer real-time multilingual neural translation protocols
- Create predictive models for climate change mitigation technologies
- Mentor PhD researchers and publish findings in top-tier journals
- Collaborate with product teams to commercialize research breakthroughs
Qualifications
- PhD in Computer Science, Quantum Physics, or equivalent with 5+ years research experience
- Expertise in Python, TensorFlow, and quantum programming languages (Q#)
- Published research at NeurIPS, ICML, or Nature Quantum
- Proven track record in scaling AI models for petabyte-scale datasets
- Deep understanding of transformer architectures and attention mechanisms
- Experience with neuromorphic computing and edge AI deployment
- Certification in AI ethics frameworks (IEEE 7000 or equivalent)