Job Description
Are you ready to architect the intelligence of tomorrow? Nexus AI Labs is pioneering the AI ecosystem of 2026, focusing on next-generation Large Language Models (LLMs) and autonomous agents. We are looking for a brilliant Senior AI Research Scientist to lead our R&D efforts in building scalable, ethical, and hyper-efficient artificial intelligence systems.
In this role, you won't just be writing code; you will define the foundational algorithms that will power the digital world of the future. You will collaborate with a world-class team of engineers, ethicists, and product designers to solve the hardest problems in artificial general intelligence (AGI) and machine learning.
Why Join Us?
- Work on cutting-edge 2026-ready AI architectures.
- Competitive compensation and equity packages.
- Remote-first culture with access to top-tier research facilities.
Responsibilities
- Lead the research and development of novel deep learning architectures tailored for 2026 enterprise applications.
- Design and implement state-of-the-art algorithms for Natural Language Processing (NLP) and Computer Vision.
- Experiment with reinforcement learning and generative AI to improve model robustness and safety.
- Mentor junior researchers and PhD candidates, fostering a culture of innovation and scientific rigor.
- Collaborate with cross-functional engineering teams to translate theoretical research into production-grade models.
- Stay ahead of the curve by monitoring global AI trends and patenting breakthrough technologies.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in deep learning, machine learning, or artificial intelligence research.
- Proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
- Strong understanding of LLM fine-tuning, RAG (Retrieval-Augmented Generation), and model evaluation.
- Demonstrated ability to lead complex technical projects from conception to deployment.