Job Requirements
Annapolis Junction, MD
Top Secret/SCI Full Scope Polygraph
Early Career (2+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Develop and evaluate AI/ML models and agentic systems.
• Design experiments and analyze performance.
• Define evaluation criteria and document technical findings.
• Author technical reports and decision-support documentation.
• Utilize Python, Git, Jira, Confluence, and technical writing skills.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 6+ years
• Total Compensation: $252k+ yearly
Job Description:
• 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 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.
• Agentic AI
• Mathematics
• Python
• Git
• JIRA
• Confluence
• Machine Learning/Artificial Intelligence
• Data Science
• Communications/Technical Writing
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Develop and evaluate AI/ML models and agentic systems.
• Design experiments and analyze performance.
• Define evaluation criteria and document technical findings.
• Author technical reports and decision-support documentation.
• Utilize Python, Git, Jira, Confluence, and technical writing skills.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 6+ years
• Total Compensation: $252k+ yearly
Job Description:
• 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 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.
• Agentic AI
• Mathematics
• Python
• Git
• JIRA
• Confluence
• Machine Learning/Artificial Intelligence
• Data Science
• Communications/Technical Writing
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119