Job Requirements
Annapolis Junction, MD
Top Secret/SCI Full Scope Polygraph
Mid Level Career (5+ 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 machine learning, statistical, and graph-based algorithms to analyze datasets and generate automated analytics.
• Program using Python, R, MATLAB, and SQL to extract data and engineer robust feature vectors.
• Implement and optimize Large Language Models, agentic workflows, and Retrieval-Augmented Generation frameworks leveraging GPU-accelerated computing.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Total Compensation: $276k+ yearly
Job Description:
• Develop, validate, and operationalize machine learning, statistical, and heuristic algorithms to solve complex analytic problems.
• Design and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems for natural language processing and information retrieval.
• Utilize GPU-based computing environments to accelerate model training, evaluation, and production deployment.
• Partner with subject matter experts to extract data from multiple formats and translate manual analyses into automated production workflows.
• Develop experiments or data simulation models to synthesize required training data when native datasets are unavailable.
• Evaluate analytic performance using standard techniques including cross-validation, ROC curves, and confusion matrices.
• Create clear data visualizations and analytical reports to communicate meaningful insights to stakeholders.
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 machine learning, statistical, and graph-based algorithms to analyze datasets and generate automated analytics.
• Program using Python, R, MATLAB, and SQL to extract data and engineer robust feature vectors.
• Implement and optimize Large Language Models, agentic workflows, and Retrieval-Augmented Generation frameworks leveraging GPU-accelerated computing.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Total Compensation: $276k+ yearly
Job Description:
• Develop, validate, and operationalize machine learning, statistical, and heuristic algorithms to solve complex analytic problems.
• Design and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems for natural language processing and information retrieval.
• Utilize GPU-based computing environments to accelerate model training, evaluation, and production deployment.
• Partner with subject matter experts to extract data from multiple formats and translate manual analyses into automated production workflows.
• Develop experiments or data simulation models to synthesize required training data when native datasets are unavailable.
• Evaluate analytic performance using standard techniques including cross-validation, ROC curves, and confusion matrices.
• Create clear data visualizations and analytical reports to communicate meaningful insights to stakeholders.
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