Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI Research Scientist to develop next-generation machine learning models that will redefine industries. Our Austin-based team operates at the intersection of quantum computing and neural networks, pushing boundaries in autonomous systems and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors in a culture that values audacious thinking and rigorous experimentation. We offer equity grants, unlimited PTO, and a $20k annual learning stipend to fuel your growth.
Responsibilities
- Design and implement novel deep learning architectures for unsupervised learning applications
- Lead cross-functional projects integrating AI with quantum computing systems
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Develop patent-pending algorithms for real-time anomaly detection in complex datasets
- Mentor junior researchers through our 'Future Leaders' program
- Partner with product teams to translate research into production-ready solutions
- Secure $500k+ in annual research funding through grant applications
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years industry experience
- Proven expertise in PyTorch/TensorFlow and distributed ML frameworks
- Published record in top-tier AI/ML conferences (h-index ≥15)
- Strong background in reinforcement learning and generative adversarial networks
- Experience with quantum machine learning algorithms and Qiskit frameworks
- Proficiency in C++ for high-performance computing optimization
- Demonstrated ability to lead technical teams of 5+ researchers
- Portfolio of open-source contributions with 1k+ GitHub stars