Materials Science Specialized LLM & AI Agent Development [A26-02]
Core
Developing next-generation AI infrastructure and autonomous research agents to accelerate materials discovery using NIMS's proprietary data.
Role type
Senior IC machine-learning engineer (materials science AI)
Builds
Autonomous Research AI Agents, domain-specific tokenizers, and data-driven research platforms
Domain
Materials science + Generative AI
Deliverable
production ML models
Required skills
Transformer architectures, LLM fine-tuning, RAG, Python, PyTensor/TensorFlow, software engineering, LangChain, LlamaIndex, AutoGPT, Model Context Protocol, GraphRAG
Preferred skills
physical constraints integration, hybrid AI systems design
Technologies
LangChain, LlamaIndex, AutoGPT, Model Context Protocol, GraphRAG, PyTorch, TensorFlow
Responsibilities
Continuous pre-training and fine-tuning of LLMs using proprietary materials data, designing architecture for autonomous AI agents interfacing with simulators and experimental systems, developing domain-specific tokenizers, implementing advanced reasoning frameworks with physical constraints
Seniority
Senior, hands-on IC