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their orchestration, provenance, and evaluation. Experience integrating AI/ML models and services with HPC and workflow systems, such as inference serving on leadership systems, coupling of AI agents with simulation
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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Requisition Id 16975 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Research Scientist to agentic workflow orchestration and cross-facility integration in support of the Genesis Mission
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that span low-power edge computing utilizing spiking neural network algorithms to large models utilizing agentic AI to solve complicated problems in nuclear safeguards, warhead monitoring and fundamental
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(CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. Key Responsibilities: Design and Development for Security
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(CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. Key Responsibilities: Design and Development for Security
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in software architecture, machine learning systems, or distributed systems Strong understanding of: Machine learning fundamentals and LLM architectures API-based and local model inference workflows
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and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models
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statistical modeling concepts (e.g., regression, classification, clustering, model evaluation). Ability to work effectively in a team-based, production-oriented research environment and communicate technical
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models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments