Job Description
Join NeuraCore Systems at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect breakthrough systems that will redefine human-machine interaction. You'll collaborate with Nobel laureates and industry disruptors in our Austin Innovation Lab, developing next-gen neural networks and quantum-optimized algorithms. Our team operates at the intersection of neuroscience, quantum computing, and sustainable AI, creating ethical frameworks for autonomous systems that will shape the next decade.
Benefits include equity grants, unlimited PTO, and access to our $50M R&D fund. We invest in your growth with annual $15k professional development stipends and flexible hybrid work arrangements.
Responsibilities
- Design and implement advanced neural network architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing quantum-optimized machine learning algorithms
- Research and publish breakthrough papers on explainable AI and ethical machine learning frameworks
- Collaborate with hardware engineers to co-design AI-optimized computing systems
- Develop predictive models for climate impact mitigation using large-scale sensor networks
- Mentor junior researchers and establish patent portfolios for core innovations
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Published research in top-tier conferences (NeurIPS, ICML, CVPR) or equivalent impact
- Expertise in transformer architectures, federated learning, and quantum computing principles
- Proficiency in PyTorch, TensorFlow, and quantum programming frameworks (Qiskit, Cirq)
- Strong background in ethical AI design and responsible ML frameworks
- Track record of translating research into production-scale AI systems