No Experience Computer Science Jobs in Frederick, MD

Description
PREP Research Associate
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:
Measuring Accuracy Uplift From LLM Adversarial Pressure/AI Research
The work will entail:
Overview: ITL's AI Program role in the project "Measuring Accuracy Uplift From LLM Adversarial Pressure/AI Research" involves the following tasks: (1) developing and evaluating an agentic deep research pipeline in which large language models (LLMs) autonomously research a corpus of authoritative documents and produce a fully cited report, and (2) designing adversarial LM-judge evaluation probes that measure whether the pipeline's claims and citations are factually grounded in the source material. Our success depends upon the availability of highly skilled domain experts. We are challenged with difficult tasks that require not only expertise in agentic AI systems and large language models, but also in designing evaluation methodologies for applications where measuring factual grounding under adversarial pressure has not been attempted before.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
§ Developing and tuning LM-judge evaluation probes that measure the factual grounding and citation quality of agentic AI outputs.
§ Design adversarial pressure scenarios that stress-test an agentic research pipeline's factual accuracy against a trusted document corpus.
§ Analyze the accuracy uplift attributable to adversarial verification and compare that approach against baseline agentic pipeline performance.
§ Produce high-quality publications based on research and results present at internal and external meetings and conferences.
Qualifications
§ US citizenship is preferred.
§ An M.S. or PhD degree in Computer Science with 3 or more years of relevant experience.
§ Expertise in Python and state of the art AI models, including large language models and agentic AI systems.
§ Ability to build deployable complex software solutions for agentic AI evaluation pipelines.
§ Strong oral and written communication skills and strong presentation skills.
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.