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:
[Computer Scientist ZP-II/NIST GenAI program]
The work will entail:
This position involves providing development support for various activities in the Information Access Division at the National Institute of Standards and Technology (NIST). Specifically, the work will support NIST GenAI evaluation series (https://ai-challenges.nist.gov/genai)
The candidate will contribute to the development of AI evaluations that support various evaluation series in various modalities (such as text, voice, image, video, and code) under the NIST GenAI program. This role involves implementing an evaluation infrastructure, designing a database schema, and performing related tasks. The candidate will also provide technical expertise in activities related to deepfakes (image, audio, and video), which include creating a project plan, developing and distributing specialized tools, generating evaluation data, and conducting evaluation series. Additionally, they will contribute to reports that align with the program's objectives. The candidate will actively participate in NIST measurement science and engage in cutting-edge research and evaluation in the field of Generative AI technologies.
Candidates must be eligible to obtain a Department of Commerce background check for facility access.
Key responsibilities will include but are not limited to:
- Developing and deploying a framework for installing and executing AI systems with a large dataset on a GPU-accelerated cluster
- Conducting image/audio/video evaluation series in advancing generative AI technologies
- Conducting experimental design and dataset curation
- Developing baseline algorithms in generative AI
- Upgrading, maintaining, and continuously developing existing NIST GenAI software
- Managing data, such as querying and translating data formats/specifications
- Building cutting-edge evaluation infrastructure
- Executing and completing a frontend/backend system
Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
- Proficiency in a programming language such as Python, Java, Java Script, R, C and C++
- Proficiency in shell scripts (Bash, etc.)
- Real-time code development using a distributed computing environment
- Computer Vision and Array Signal Processing
- Advanced Scientific Data Visualization (e.g., OpenGL / C++, 64 channel audio streams, HD video streams, CV, Audio and ML analytics data)
- Mastery of the principles, practices, methods in a specialty of a technical professional field (in science, computer science, software engineering, information technology, or mathematics, or related field).
The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.