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scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially
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, neutron source, or other major scientific facility. Experience in developing and deploying AI models. Demonstrated ability to collaborate on distributed software development teams. Experience with HTTP APIs
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management, onboarding, compensation, policy and process implementation, employment law compliance and transaction management. In this dynamic role the you will: Administer a variety of complex human resource
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foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and
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, detailed 3D modeling and design, design and safety reviews Work closely with scientific staff as well as other engineering groups to develop solutions to complex problems and integration issues Prepare cost
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or deployment of services involving physics modelling, AI/ML, or digital twin functionality Experience supporting activities under DOE Order 413.3B relating to project management, Earned Value Management Systems
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one of the world’s leading research institutions. You'll begin on a steady day shift (Mon–Fri, 8 a.m. to 4 p.m.) and after qualifying, transition into a dynamic rotational schedule that ensures variety
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life – including the explosion of large language model (LLM) releases. BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications and uses
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industry, education, and public life – including the explosion of large language models (LLMs). BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications
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model for behavior that reflects BNL Values and holds staff accountable. Required Knowledge, Skills, and Abilities: • PhD. in Chemistry, Materials Science, Physics, or other relevant field with 10 years