Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. Our multidisciplinary team is developing next-generation neural networks that will redefine human-machine interaction. This role offers unparalleled opportunity to shape the future of autonomous intelligence while working in our state-of-the-art San Francisco lab. We provide comprehensive benefits, unlimited PTO, and equity participation for all team members.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead research initiatives in explainable AI and ethical machine learning frameworks
- Collaborate with quantum computing specialists to develop hybrid AI models
- Author peer-reviewed publications and patents for breakthrough innovations
- Mentor junior researchers through weekly technical workshops
- Prototype and validate AI solutions using 10,000+ GPU clusters
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years research experience
- Published work in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Expertise in transformer architectures and generative adversarial networks
- Proficiency in PyTorch/TensorFlow and distributed computing frameworks
- Strong background in computational neuroscience or cognitive modeling
- Experience with MLOps pipeline deployment at scale
- Demonstrated ability to secure $1M+ in research funding