Information Operations (IO) Policy SME

Peraton•Washington, DC

15h•$190,000 - $304,000•Onsite

About The Position

Peraton seeks an Information Operations (IO) Policy SME to support DAMO-Strategic Operations / Information Operations in developing Army policy and directives with regard to the implementation and use of AI across the Army. In this role, build understanding of how AI and ML can be used to impact information operations, facilitate the codification of guardrails to limit its impact on Army operations while, and championing policy and resourcing solutions for service-wide artificial intelligence (AI), machine learning (ML), and data science (DS) stakeholder requirements. Tasks include: Assist in developing policies and understanding of the application of AI, ML, and natural language processes (NLP) for gaining an advantage in how that information can lead to analysis to develop better options for decision making. Understand potential impacts on Army operations from information derived from machine learning, algorithm analysis, and data clustering -- and develop guardrails to mitigate risks. Identify limitations of how AI and ML can be used to manipulate outcomes in IO and develop recommendations on how to prevent/limit Army forces from being susceptible to that manipulation. Drive service-wide AI/ML/DS stakeholder requirements through the Army Planning, Programming, Budgeting Execution (PPBE) process; develop resourcing and policy solutions that will enable Army formations to effectively compete against an adversary. Prepare briefings, information/decision papers, policy documents, staffing packages, EXORDs, memorandums, SITREPs and official multimedia correspondence related to DAMO-SOI; Assist DAMO-SOI in responding to inquiries from Congress and other higher authorities. Participate in DoD, Joint, and Army projects, studies, and working groups within the DAMO-SOI portfolio including Misinformation/Disinformation (M/D), Publicly Available Information (PAI), Technical Effects, Operations Security (OPSEC), and Data for influence. Provide SME-level expertise in developing policies and understanding of the application of structured and unstructured data, data management, and data analytics and how it enables increased capability and decision making. Gather known risks -- and help discover unknown risks – of sophisticated AI applications that use advanced unstructured and semi-structured data analysis.

Requirements

Min 14 years with MS/MA, Min 10 years with PhD
Master’s degree from an accredited college or university in statistics, mathematics, computer science, or another quantitative field
Experience with Service IO implementation and Cyberspace, Public Affairs and Psychological Operations (MISO) execution, implementing and updating machine learning algorithms and neural networks in production settings, experience with Generative Adversarial Networks (GANs) application in support of synthetic image, video and voice generation, and the ability to identify and deploy novel solutions to support Army IO stakeholder requirements.
Familiarity with unsupervised, semi-supervised, and supervised learning algorithms (and when it is appropriate to use each), as well as with feature selection, feature extraction (a plus), and common hyper-optimization techniques with different AI models.
Possess the ability to work and lead a diverse team in a fast-paced environment with enthusiasm to thrive in an atmosphere of constant change.
Demonstrate ability to translate complex technical problems sets and condense for executive level decision.
Able to write, brief and plan for a DoD GO/SES level audience
U.S. Citizenship required
Active TS with ability to obtain/maintain SCI

Nice To Haves

Demonstrated experience of four (4) years in creating machine- and deep-learning applications.
Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python NumPy, Pandas, and Keras (TensorFlow or PyTorch is a plus).

Responsibilities

Assist in developing policies and understanding of the application of AI, ML, and natural language processes (NLP) for gaining an advantage in how that information can lead to analysis to develop better options for decision making.
Understand potential impacts on Army operations from information derived from machine learning, algorithm analysis, and data clustering -- and develop guardrails to mitigate risks.
Identify limitations of how AI and ML can be used to manipulate outcomes in IO and develop recommendations on how to prevent/limit Army forces from being susceptible to that manipulation.
Drive service-wide AI/ML/DS stakeholder requirements through the Army Planning, Programming, Budgeting Execution (PPBE) process; develop resourcing and policy solutions that will enable Army formations to effectively compete against an adversary.
Prepare briefings, information/decision papers, policy documents, staffing packages, EXORDs, memorandums, SITREPs and official multimedia correspondence related to DAMO-SOI; Assist DAMO-SOI in responding to inquiries from Congress and other higher authorities.
Participate in DoD, Joint, and Army projects, studies, and working groups within the DAMO-SOI portfolio including Misinformation/Disinformation (M/D), Publicly Available Information (PAI), Technical Effects, Operations Security (OPSEC), and Data for influence.
Provide SME-level expertise in developing policies and understanding of the application of structured and unstructured data, data management, and data analytics and how it enables increased capability and decision making. Gather known risks -- and help discover unknown risks – of sophisticated AI applications that use advanced unstructured and semi-structured data analysis.