Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Neural Systems is on a mission to accelerate the development of Artificial General Intelligence (AGI). As we approach the pivotal year of 2026, we are seeking a visionary and technically rigorous Senior AI Research Lead to spearhead our breakthrough initiatives. This is not just a job; it is an opportunity to shape the architectural foundation of the next decade.
In this high-impact role, you will bridge the gap between theoretical research and practical deployment, guiding a team of elite engineers and data scientists to achieve unprecedented milestones in neural architecture and cognitive computing.
Responsibilities
- Lead the 2026 Roadmap: Define and execute the long-term technical strategy for our flagship AI models, ensuring alignment with industry-leading benchmarks.
- Research & Development: Spearhead the research into emerging paradigms such as multi-modal reasoning, self-supervised learning, and quantum-inspired algorithms.
- Team Leadership: Mentor a team of top-tier researchers, fostering a culture of innovation, rigorous experimentation, and scientific excellence.
- Cross-Functional Collaboration: Partner with product engineering and business units to translate complex research findings into scalable, production-ready products.
- Patents & Publications: Author high-impact research papers and secure patents for novel methodologies in the AI space.
- Competitive Analysis: Maintain a deep understanding of the global AI landscape to ensure Nexus Neural Systems remains at the forefront of innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field from a top-tier institution.
- Experience: 8+ years of professional experience in AI research, with at least 3 years in a leadership or senior architect role.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and experience with large-scale distributed training systems.
- Research Track Record: Demonstrated history of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or holding patents in AI/ML.
- Strategic Vision: Ability to identify emerging trends and translate them into actionable technical roadmaps for a rapidly evolving market.