Job Description
Join Neural Frontier Labs at the forefront of 2026's AI revolution. We're pioneering quantum neural networks and adaptive learning systems that will redefine human-computer interaction. As a Senior AI Research Engineer, you'll architect next-generation autonomous systems while collaborating with Nobel laureates in our Austin R&D hub. Our startup culture combines academic rigor with Silicon Valley agility, offering equity packages and unlimited research budgets.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks
- Lead cross-functional teams in developing adaptive AI architectures
- Publish breakthrough research in top-tier AI journals
- Prototype real-time neural interfaces for human-AI symbiosis
- Optimize AI models for edge computing deployment
- Mentor junior researchers in emerging AI paradigms
- Secure patents for novel AI methodologies
Qualifications
- PhD in Computer Science/AI with 5+ years industry experience
- Published research in Nature/Science or equivalent tier journals
- Expertise in quantum computing and neuromorphic engineering
- Proficiency in PyTorch/TensorFlow and C++ for low-level optimization
- Track record of deploying production-grade AI systems
- Strong background in computational neuroscience
- Experience with federated learning frameworks