Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough neural architectures and quantum-inspired algorithms while collaborating with Nobel laureates in our Austin innovation hub. Our 2026 roadmap includes autonomous medical diagnostics, climate modeling at exascale scale, and ethical AI governance frameworks. We offer patent ownership, unlimited R&D budgets, and a culture where curiosity fuels innovation.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era computational challenges
- Lead quantum-classical hybrid algorithm development for real-time decision systems
- Collaborate with cross-disciplinary teams to deploy AI solutions in healthcare and climate science
- Author peer-reviewed publications and present findings at top-tier conferences
- Develop ethical AI frameworks aligned with 2026 regulatory standards
- Mentor junior researchers in advanced ML techniques and research methodology
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 3+ years of AI research
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Published research in NeurIPS/ICML/ICLR with 20+ citations
- Proficiency in distributed computing (Ray, Dask) and high-performance optimization
- Experience with federated learning and differential privacy techniques
- Strong background in theoretical computer science or computational physics
- Portfolio of open-source contributions with 1000+ GitHub stars