Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine human-computer interaction. As an AI Research Scientist, you'll architect breakthrough solutions in machine learning and neural networks, working directly with Nobel laureates and industry disruptors. Our state-of-the-art lab offers unparalleled resources to transform theoretical concepts into real-world applications that will shape the next decade.
Competitive equity package, flexible hybrid work policy, and dedicated R&D budget for conference participation and patent development. This isn't just a job—it's your chance to write the future.
Responsibilities
- Design and implement advanced neural architectures for next-generation AI systems
- Lead cross-functional research initiatives in quantum-ML hybrid computing
- Develop ethical frameworks for autonomous decision-making algorithms
- Collaborate with MIT and Stanford on federated learning protocols
- Translate academic breakthroughs into production-ready AI solutions
- Mentor PhD candidates in our 2026 AI Fellowship Program
- Secure $1M+ in annual research grants and patents
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with top-10 university pedigree
- 5+ years of published research in NeurIPS/ICML/ICLR proceedings
- Expertise in PyTorch, TensorFlow Quantum, and transformer architectures
- Proven track record of deploying AI models at scale (>100M users)
- Deep understanding of ethical AI governance frameworks
- Experience with neuromorphic computing hardware (Loihi, TrueNorth)
- Strong background in computational complexity theory