Job Description
Join NeuralFrontier Labs at the forefront of 2026's technological revolution. We're pioneering quantum neural networks and autonomous AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough algorithms that solve humanity's most complex challenges while working in our state-of-the-art Austin facility. Our cross-disciplinary teams combine neuroscience, quantum computing, and edge AI to create solutions that will power the next decade of innovation.
This role offers unparalleled resources including access to quantum processing clusters, exclusive partnerships with MIT and Stanford, and a budget for cutting-edge experimentation. We foster a culture of intellectual curiosity where your ideas become reality.
Responsibilities
- Design and implement quantum-inspired AI architectures for next-generation autonomous systems
- Lead research initiatives in unsupervised learning and generative adversarial networks
- Collaborate with neuroscientists to develop brain-inspired computing models
- Publish findings in top-tier journals (Nature, Science, etc.)
- Mentor junior researchers and present breakthroughs at global tech conferences
- Develop ethical frameworks for 2026-level AI autonomy
- Secure grants and patents for novel AI methodologies
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years research experience
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Expertise in quantum machine learning and neuromorphic computing
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Demonstrated success in building production-level AI systems
- Strong background in ethics and responsible AI development
- Experience securing NSF/DARPA or equivalent research grants
- Portfolio of open-source contributions with 1k+ GitHub stars