202 machine-learning-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2 years of experience. Experience architecting and implementing complex distributed systems and willingness to learn
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Security, Credentialing, and Eligibility Requirements: Export
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, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years professional experience is required for consideration
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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Ambassador for FFESD and its divisions. Assist the organization management in implementing the ORNL Cyber Security Program, self-assessments, and training. Assist the organization's computer users, application
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collaborate with other groups and divisions to support multidisciplinary R&D activities while learning established ORNL policies, procedures, safety practices, and work methods. Deliver ORNL mission outcomes by
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minimum of 5 years law enforcement of military (in relevant career field) experience. Ability to obtain and maintain medical certification for Security Police Officer duties and successfully meet the
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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Requisition Id 17106 Overview: The Advanced Engineering Technologies (AET) Group is seeking a dedicated applied mechanical engineer. This position will involve machine design and process engineering
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks