Job Description
Join QuantumLeap Labs at the forefront of AI innovation as we build the intelligent systems of 2026. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-computer interaction. Our Austin-based team operates at the intersection of quantum computing and neural networks, tackling challenges in autonomous decision-making, generative AI ethics, and predictive analytics.
As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and industry pioneers in a culture that values intellectual curiosity and rapid prototyping. We offer competitive equity packages, unlimited R&D budget, and the opportunity to publish groundbreaking research in Nature and IEEE journals.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead quantum-enhanced machine learning research initiatives
- Develop ethical frameworks for generative AI deployment
- Collaborate with hardware engineers on quantum-neural hybrid computing
- Publish peer-reviewed research and secure patents
- Mentor junior researchers in emerging AI paradigms
- Present findings at top-tier conferences (NeurIPS, ICML, CVPR)
Qualifications
- PhD in Computer Science, Mathematics, or Physics with AI focus
- 5+ years in advanced ML research (transformers, diffusion models)
- Expertise in PyTorch/TensorFlow and quantum programming (Qiskit)
- Published work in top-tier AI/quantum journals
- Strong background in computational complexity theory
- Experience with distributed ML frameworks (Ray, Dask)
- Portfolio of open-source contributions with 500+ GitHub stars