Job Description
Join Nexus Dynamics at the forefront of 2026 technological evolution as we pioneer breakthroughs in autonomous systems and quantum computing. Our multidisciplinary team is redefining human-machine interaction through cutting-edge AI research. This role offers unparalleled opportunity to shape the next generation of intelligent solutions that will transform industries by 2026.
We seek a visionary researcher to lead exploratory projects in neural-symbolic integration and explainable AI. You'll collaborate with world-class engineers and scientists in our state-of-the-art San Francisco lab, publishing breakthrough papers and contributing to open-source frameworks that accelerate global AI advancement.
Responsibilities
- Design and implement novel AI architectures for next-generation autonomous decision systems
- Lead research initiatives in quantum machine learning algorithms for 2026-era applications
- Develop ethical frameworks for explainable AI in high-stakes environments
- Publish peer-reviewed research and present findings at top-tier conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure external funding through NSF and DARPA proposal development
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Published record in NeurIPS/ICML/ICLR with 10+ citations
- Expertise in transformer architectures and reinforcement learning
- Proficiency in PyTorch/TensorFlow and quantum computing frameworks
- Strong background in causal inference and probabilistic modeling
- Experience leading multidisciplinary research teams
- Deep understanding of AI safety and alignment principles