Research Scientist
- Hiring from
- Nepal
- Work type
- Hybrid
- Posted
- Sep 1, 2026
Research Scientist Team: Research Location: Remote Role Overview As a Research Scientist at SAGEA, you will focus on advancing the theoretical and algorithmic foundations of reasoning-driven AI systems. This role emphasizes conceptual depth, experimental design, and original research that informs how models are built, trained, and evaluated. You will work closely with research engineers to translate research ideas into experiments and prototypes, contributing to SAGEA’s long-term research direction while maintaining a clear connection to practical systems. What You Will Do Develop and explore new algorithms, architectures, and training approaches for reasoning-focused models Formulate research questions and design experiments to test hypotheses Conduct ablation studies, evaluations, and theoretical analysis Collaborate with research engineers to implement and validate research ideas Write internal research documents and, where appropriate, external publications Track and synthesize relevant research across language, multimodal, and reasoning systems Contribute to SAGEA’s research roadmap and long-term technical strategy What We Are Looking For Strong background in machine learning, deep learning, or related fields Experience conducting independent research and designing experiments Ability to reason abstractly and communicate complex ideas clearly Familiarity with modern model architectures and training paradigms Comfort working in open-ended research environments Nice to Have Prior publications or research experience in ML or AI Experience with language models, reasoning systems, or multimodal learning Strong mathematical foundations (linear algebra, probability, optimization) Experience collaborating across research and engineering teams Why This Role Matters at SAGEA Research Scientists at SAGEA define the ideas that shape our systems. This role ensures that our work is grounded in original thinking, scientific rigor, and long-term research goals, while remaining connected to real-world deployment constraints.