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learning technology and experience in turning machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists
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underlying the existing Navigator methodology, working closely with - and providing guidance to - data researchers, engineers, and leadership across the institute. Successful candidates will be
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, network science, optimization, or related areas. Experience contributing to government, defense, or security-related R&D programs (internships, fellowships, or full-time roles). Familiarity with
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understand and use quantum computing for biomedical and chemical research. You will collaborate closely with quantum researchers, computational scientists, software engineers, and external partners
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, working closely with — and providing guidance to — data researchers, engineers, and leadership across the institute. Successful candidates will be responsible team players and passionate about machine
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learning and AI system development in research, prototype, or production environments. Preferred Master’s degree with a focus on ML/AI, data ‑ intensive systems, network science, optimization, or
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; Refines technical requirements, develops prototypes, and performs system level analysis; Works within a small team of developers and engineers to design and implement deployable code. Assists in the
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, logging, debugging and recovering long-running training jobs, build automated training and evaluation pipelines, and serve as the technical link between AI engineers, researchers, software developers and
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learning technology and experience in turning machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for
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processors based on superconducting circuits. To achieve this ambitious goal, we currently have projects related to: • Development and optimization of nano-fabrication processes for superconducting