Job Description
Shape the future by 2026 as QuantumLeap Labs seeks visionary AI Research Scientists to pioneer next-generation neural architectures. Join our elite team developing autonomous systems that will redefine industries through ethical, scalable AI solutions. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D hub, where your breakthroughs will directly impact human-AI coevolution.
We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation. Your work will power our 2026 roadmap for quantum-entangled machine learning and synthetic consciousness frameworks.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead cross-functional research on neural-symbolic AI integration
- Develop ethical frameworks for human-AI symbiosis in regulated environments
- Publish breakthrough findings in top-tier AI journals and conferences
- Mentor junior researchers in next-gen AI paradigms
- Collaborate with quantum computing teams on hybrid AI models
- Translate theoretical advances into patentable commercial solutions
Qualifications
- PhD in Machine Learning, Computer Science, or related field (or equivalent research impact)
- 5+ years developing production-level deep learning systems
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Expertise in transformer architectures, reinforcement learning, and causality
- Strong programming skills in PyTorch/TensorFlow and CUDA
- Experience with large-scale distributed training frameworks
- Demonstrated ability to translate research into commercial applications