Principal Research Scientist

Elios Talent is an innovative technology team seeking a Principal Research Scientist to drive cutting-edge research and development in agentic systems. The role focuses on advancing next-generation architectures and involves leading exploration in reinforcement learning and model optimization techniques.

Responsibilities:

• Lead research in agentic architectures, memory-rich systems, and autonomous decision-making frameworks
• Design and train reinforcement learning agents capable of long-horizon planning, adaptive reasoning, and dynamic self-improvement
• Drive model optimization research, including distillation, pruning, and quantization for high-performance inference
• Prototype and evaluate deep memory modules that enhance contextual retention, recall, and multi-step reasoning
• Collaborate with engineering and product teams to transition research breakthroughs into scalable, production-ready capabilities
• Author research findings, documentation, and internal papers to support ongoing experimentation and roadmap development