Principal Scientist – AI/ML Specialization

🕒 April 22

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $100k - $300k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

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Global InfoTek, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

🔒 Cybersecurity

🤖 Artificial Intelligence

🏛️ Government

Cybersecurity • Artificial Intelligence • Government

Global InfoTek, Inc. is a company that specializes in delivering cutting-edge national security solutions with a focus on speed, agility, and innovation. They support federal agencies by providing enterprise application development, cloud engineering, cybersecurity solutions, advanced analytics, and data visualization, as well as artificial intelligence and machine learning. Their mission is to equip the national security community with the necessary tools to combat threats and challenges effectively. Global InfoTek is committed to building the careers of top-tier cybersecurity professionals to ensure the nation's security.

📋 Description

• Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks — formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability — including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts • Produce technical documentation — working notes, research findings, monthly status reports, and briefing materials — that accurately represent the scope and confidence level of analytical results

🎯 Requirements

• 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains. • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors • Track record of working effectively on constrained-hardware edge systems — no cloud, no discrete GPU — with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms • Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. • US Citizenship: Required. • Clearance Level: Public Trust (Secret Eligible).