AI Researcher

Overview AI Researcher Onsite | Ft. Meade, MD Active TS/SCI w/FS Poly (NSA) Clearance Required Summary Since 2012, our client has helped mission-critical government organizations and businesses face their most daunting technology challenges. Their team have been trusted partners to many government agencies and are extremely familiar with a wide variety of systems, policies, and procedures. Our client is also a distinguished custom software development firm dedicated to delivering premium solutions tailored for businesses and governmental needs. They are home to top-tier technology professionals recognized as industry pioneers, comprehensive full-stack engineers, and reliable consultants. These experts are adept at clear communication, excel in resolving complex challenges where others may falter, and are skilled in actualizing an organization's vision. The AI Researchers provide the technical and analytical foundation for the work. They conduct applied research, define and refine research questions, and perform literature reviews to survey and assess existing methods and emerging approaches. They own experimental design end to end, running experiments, evaluating candidate approaches, and producing publication-quality analysis of the results. They document findings in a form usable by both technical and non-technical stakeholders, contributing to technical reports, evaluation plans, and model and agent assessments. A core part of their role is translating research outcomes into concrete implementation guidance, turning findings and recommendations into direction that the Developers and the broader team can act on. Working closely with the Data Scientists, they shape benchmark design, scoring rationale, and the interpretation of evaluation results so that measured outcomes connect back to the original research objectives. Upcoming Tasking: Develop evaluation methodologies and experimental designs for assessing model and agent performance, including capability, reliability, and limitation analyses. Conduct reviews of current state-of-the-art AI/ML evaluation methods and emerging techniques to inform approach selection. Define and document evaluation criteria, success metrics, and assessment rationale in partnership with the Data Scientists. Assess candidate models and agentic systems and produce written technical findings and recommendations. Author technical reports, evaluation plans, and decision-support documentation for stakeholders.Technologies / Skills Needed Python Jupyter notebooks Scientific computing libraries Machine learning / AI evaluation methods Experiment design Literature review tools Statistical analysis Technical writing Version control, such as Git Collaboration tools such as Jira or Confluence Operate effectively in an airgapped/constrained environment Requirements Experience with Applied AI/ML Research, Experimental Design, State-of-the-Art (SOTA) Literature Reviews,…