PREP Research Associate in Generative AI Evaluation (Computer Science, Masters/PhD) at George Washington University and NIST George Washington University in United States

The George Washington University, in collaboration with NIST, is seeking a PREP Research Associate (Computer Scientist) to join the Information Access Division in Gaithersburg, MD. This unique opportunity is at the forefront of the NIST GenAI evaluation series, a global initiative to assess the capabilities and risks of generative AI technologies. The successful candidate will contribute to the development of frameworks for evaluating AI models across multiple modalities, including deepfake detection in audio and video, code generation, and large-scale text models.

Key responsibilities include deploying systems for executing AI models on large datasets using GPU clusters, providing technical expertise in deepfake analytics, building and maintaining frontend/backend systems for AI evaluation, designing experiments, and curating datasets for high-fidelity benchmarking. Advanced data visualization using OpenGL/C++ for scientific analysis of audio and video streams is also part of the role.

Applicants should possess a Master's or PhD in Computer Science, Software Engineering, or Mathematics, with strong programming skills in Python, C++, Java, or R, and expert-level Bash scripting. Experience in computer vision, array signal processing, distributed computing, ML analytics, and real-time code development is highly desirable. The position is based at the NIST campus in Gaithersburg, MD, and offers the chance to contribute to national and international GenAI benchmarks and reports.

To apply, follow the provided application link and ensure your qualifications align with the requirements. This is an excellent opportunity for those passionate about trustworthy AI, machine learning, and advanced computational research.