Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Systems is leading the charge into the next decade of technological evolution. We are seeking a visionary Senior AI Research Scientist to join our elite '2026 Initiative,' a groundbreaking project focused on the convergence of Artificial General Intelligence (AGI) and Quantum Computing.
In this role, you will not merely predict trends; you will define them. You will build the neural architectures that will power the world's most complex systems by 2026. If you possess an insatiable curiosity and the technical prowess to push the boundaries of what is possible, we want to hear from you.
Why Nexus Horizon?
- Impactful Work: Directly influence the trajectory of global AI infrastructure.
- Future-Ready: Work with bleeding-edge technology that defines the 2026 landscape.
- Competitive Compensation: Top-of-market salary and significant equity opportunities.
Responsibilities
- Design and implement state-of-the-art deep learning models and neural architectures for the 2026 roadmap.
- Lead cross-functional research teams in the development of scalable, energy-efficient AI systems.
- Collaborate with quantum computing experts to integrate hybrid AI/Quantum algorithms.
- Define technical standards and best practices for next-gen AI safety and ethics.
- Translate theoretical research into production-ready code and scalable software solutions.
- Mentor junior researchers and PhD candidates in advanced machine learning methodologies.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or AI research.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, etc.).
- Experience with AI ethics, regulatory compliance, and responsible AI deployment.