NIST PREP AI Computer Scientist
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: AI Computer Scientist
The work will entail: Perform research, develop test software, and develop test methodologies focused on AI computing to enable measurement science. Advance the Institute's artificial intelligence (AI) mission through cutting-edge research, tool development, and measurement science. Serve as a technical expert in AI, applying deep knowledge of machine learning, deep learning, natural language processing, and/or other AI sub-disciplines to design, develop, and evaluate AI systems and methodologies that address critical measurement and standards challenges. Conducts original research, developing novel AI-driven tools and benchmarks.
Key responsibilities will include but are not limited to:
- Technical contributor to address major AI national challenges
- Build AI research prototypes to evaluate possible solutions
- Perform technical analysis of AI evaluation alternatives
- Actively participate in strategic AI discussions
- Brainstorm and suggest novel ideas to solve AI challenges
- U.S. Citizen Preferred
- A Bachelor’s degree in Computer Science, Engineering, or a related field.
- Familiarity and experience with computer programming and tool development to solve key Artificial Intelligence (AI) measurement science challenges.
- Familiarity and experience with core AI technical skills such as machine learning and deep learning
- Familiarity with statistical data analysis and experimental design
- Strong oral and written communication skills.
Work Type: Hybrid