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Field
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experience. Proficiency in using Python, AI APIs (OpenAI, Anthropic, Gemini, etc.), machine learning algorithms, and software development frameworks. Familiarity with building agentic solutions using
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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structures, algorithms, computer architecture, operating systems and databases) to develop and write original software to meet research-based needs. Utilizes experience of scientific and mathematical concepts
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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but not limited to: API integration, algorithmic processing, machine learning, search applications, and security advancements. Programmers work in both cloud and locally hosted environments and with
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but not limited to: API integration, algorithmic processing, machine learning, search applications, and security advancements. Programmers work in both cloud and locally hosted environments and with
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, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI
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combination of education and experience. Proficiency in using Python, AI APIs (OpenAI, Anthropic, Gemini, etc.), machine learning algorithms, and software development frameworks. Familiarity with building
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(e.g., data structures, algorithms, computer architecture, operating systems and databases) to develop and write original software to meet research-based needs. Utilizes experience of scientific and
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qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran