Job Description
Join Nexus AI Labs at the forefront of 2026's technological revolution. We're pioneering autonomous AI systems that redefine human-machine collaboration. As our AI Research Scientist, you'll architect next-generation neural networks while mentoring a team of quantum computing specialists. Our Austin campus offers state-of-the-art labs and unparalleled resources to transform theoretical breakthroughs into scalable solutions.
What you'll achieve: Develop generative AI models with 10x efficiency gains, publish in Nature AI, and shape industry standards for ethical AI deployment. This role includes competitive equity and flexible hybrid work arrangements.
Responsibilities
- Lead research in multimodal AI architectures for 2026's edge-computing landscape
- Design self-improving reinforcement learning systems with zero-shot generalization
- Collaborate with quantum computing teams to optimize AI-quantum hybrid algorithms
- Secure 2+ patents annually in applied AI innovation
- Mentor junior researchers through our AI Academy program
- Present findings at global AI summits including NeurIPS 2026
- Develop ethical AI governance frameworks for autonomous systems
Qualifications
- PhD in Machine Learning/Cognitive Science or equivalent research experience
- 5+ years developing production-level deep learning systems
- Published research in top-tier AI conferences (NeurIPS/ICML/ICLR)
- Expertise in transformer architectures and diffusion models
- Proficiency in PyTorch/TensorFlow with C++ optimization skills
- Understanding of quantum computing principles
- Experience with federated learning frameworks
- Track record of translating research into commercial applications