Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking an AI Research Engineer to architect next-generation neural networks that will redefine human-machine interaction. As part of our elite Innovation Lab, you'll pioneer breakthroughs in autonomous systems, ethical AI frameworks, and quantum-entangled machine learning models. Your work will directly shape the future of industries from healthcare to space exploration.
Our Austin headquarters offers a state-of-the-art research environment with unlimited compute resources, collaborative think tanks, and direct engagement with Fortune 500 partners. We provide comprehensive benefits including equity grants, wellness stipends, and flexible work arrangements for optimal creativity.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead cross-functional R&D initiatives in quantum-ML hybrid models
- Develop ethical AI governance frameworks for global deployment
- Collaborate with MIT/Stanford partners on bleeding-edge research publications
- Architect scalable ML pipelines processing petabyte-scale datasets
- Mentor junior researchers in emerging AI paradigms
- Secure federal grants for next-generation AI infrastructure projects
Qualifications
- PhD in Computer Science/AI or equivalent industry breakthroughs
- 5+ years developing production-grade ML systems at scale
- Published research in top-tier AI conferences (NeurIPS/ICML)
- Expertise in PyTorch/TensorFlow with quantum computing integration
- Proven track record of deploying ethical AI frameworks
- Strong background in multi-modal learning architectures
- Experience securing DARPA/NASA research grants preferred
- Portfolio of open-source contributions with >1K GitHub stars