Job Description
Join Nexus Futures Lab at the forefront of 2026's technological revolution. We're pioneering quantum-entangled AI systems and autonomous neural interfaces to redefine human-machine collaboration. As our AI Research Scientist, you'll architect breakthrough solutions that bridge today's innovations with tomorrow's realities. Work in our state-of-the-art Silicon Valley campus alongside Nobel laureates and Turing Award winners, shaping the algorithms that will power the next decade of progress.
Our team operates at the intersection of neuroscience, quantum computing, and generative AI. We offer unparalleled resourcesâincluding dedicated quantum lab access and a $10M annual research budgetâto turn visionary concepts into tangible breakthroughs. This is your chance to solve problems that haven't yet been defined.
Responsibilities
- Design and implement quantum-resistant machine learning architectures for 2026-era data ecosystems
- Lead R&D in neural-symbolic AI integration for human-computer symbiosis
- Develop autonomous ethical governance frameworks for next-generation AI systems
- Pioneer cross-domain applications combining bioinformatics, climate modeling, and cognitive AI
- Collaborate with quantum computing teams to optimize algorithm performance on emerging hardware
- Publish breakthrough research in top-tier journals (Nature AI, Science Robotics, etc.)
- Mentor junior researchers in interdisciplinary innovation methodologies
Qualifications
- PhD in Computer Science, Quantum Computing, or Computational Neuroscience with 3+ years post-doctoral research
- Expertise in transformer architectures, quantum machine learning, and neuromorphic computing
- Proven track record of publishing in top-tier AI/neuroscience journals (h-index >15)
- Proficiency in PyTorch Quantum, TensorFlow Quantum, and neuromorphic SDKs
- Demonstrated ability to secure $500K+ in research grants or industry partnerships
- Deep understanding of ethical AI frameworks and responsible innovation principles
- Experience with high-performance computing clusters and quantum annealing systems