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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train
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integrating human-in-the-loop reinforcement learning approaches. Responsible AI: Exploration of privacy-preserving AI techniques, enhancing AI safety, and addressing vulnerabilities and defenses in Large
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reports, and proposals for internal and external release and represent the organization by giving technical presentations in large public forums. Mentor emerging research staff, postdocs, and students
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Requisition Id 16695 Overview: As a Senior AI Architect at Oak Ridge National Laboratory (ORNL), you will operate at the intersection of advanced machine learning, software and systems
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leaders in HPC and advanced computing while helping develop and modernize the storage capabilities required for current and emerging national security missions. We are looking for someone who combines deep
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mission partners while providing technical leadership and mentorship to others. We are looking for someone with deep Linux expertise and an engineering mindset who enjoys architecting, building, automating
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credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting
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@ornl.gov (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login to your account