Job Description
Be part of the vanguard of technological evolution. Nexus Future Labs is seeking a visionary Lead AI Research Scientist to spearhead Project 2026, our ambitious initiative to engineer the next generation of autonomous reasoning systems. This is not just a job; it is an opportunity to define the architectural foundations of the future.
In this high-impact role, you will operate at the intersection of theoretical mathematics and practical engineering. You will tackle the hardest problems in artificial general intelligence, focusing on scalability, ethical alignment, and cognitive simulation.
Our culture rewards intellectual curiosity and bold thinking. You will have the autonomy to pursue high-risk, high-reward research directions while collaborating with a world-class team of engineers and ethicists.
Responsibilities
- Architect and implement novel neural network architectures for the Project 2026 initiative.
- Drive research in large-scale language models, reinforcement learning, and multimodal reasoning.
- Optimize model inference for real-time, low-latency applications on edge hardware.
- Publish breakthrough research in top-tier conferences (NeurIPS, ICML, ICLR).
- Bridge the gap between theoretical research and production-grade software engineering.
- Mentor and grow a team of talented data scientists and researchers.
- Establish rigorous evaluation benchmarks for AI safety and performance.
Qualifications
- Ph.D. in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in AI research roles at leading tech companies or AI research labs.
- Proven track record of publishing influential papers or open-sourcing significant models.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed training systems and high-performance computing.
- Strong background in optimization theory and statistical machine learning.
- Demonstrated leadership in cross-functional technical projects.