Job Overview

Come perform state-of-the-art multidisciplinary work in the application of Advanced AI, Machine learning, and Data science disciplines! This role requires a deep understanding of the latest advancements in AI/ML and the techniques to solve complex problems in weapons research & development (R&D). This position will be filled as a 3-year Flexible Length and Renewable Flexible Term Appointment (new government hires, current government term employees, etc). Further, this position may be extended or noncompetitively converted to a career appointment. This position is eligible for a Recruitment Bonus that will be paid bi-weekly. This Recruitment Incentive is authorized for a highly qualified candidate with AI skills, education, and experience that can demonstrate advanced competencies and skills in the field of Weapon Cyber AI. This position will serve as the Senior Matter Expert (SME) on Artificial Intelligence for the Weapon Cyber Section and will drive innovation with Assured AI to develop secure, collaborative, smarter weapons and contribute to technological advancements across the Air Force. The duties and responsibilities are to develop secure, collaborative, smarter weapons across AFRL as AI SME they are responsible for training the mid-level engineers on all aspects of AI. This position will require signing a Continuous Service Agreement (CSA). We will be accepting candidates now through 31 March 2025.

The Air Force Research Lab Munitions Directorate seeks to hire a senior-level Principal General Engineer DR-0801-04 (GS-15 equivalent) to serve as the AI/ML/Cyber SME at Eglin AFB FL. in Valparaiso, Florida.

Position duties include, but are not limited to:

• Performs state-of-the-art multidisciplinary work in the application of advanced AI, machine learning, and data science disciplines to plan, direct, and coordinate complex projects applied to weapons research and development.
• Applies expert knowledge and theories, principles, concepts, and methods in AI/ML and data science, with emphasis on cutting-edge ML approaches such as deep-, reinforcement-, unsupervised-learning etc.
• This role requires a deep understanding of the latest advancements in AI/ML and the ability to apply these techniques to solve complex problems in weapons R&D.
• As a senior technical leader, this role involves leading a team of AI/ML engineers and data scientists, providing a compelling technical vision, and ensuring the team's work is technically sound and aligns with DoD priorities.
• The role requires strong leadership skills, including the ability to inspire a team, manage resources effectively, and communicate weapon data science R&D projects and strategy to senior leaders.
• A critical duty will be training and developing team members in relevant AI/ML skills, tools, and knowledge to create a highly adept cadre of AI/ML researchers.
• Independently defines research objectives in the AI/ML domain and determines how they may be best accomplished, develops and evaluates alternatives, defines the approach, conducts the analyses, and documents findings and products related to AI/ML research and consultation.
• Demonstrates skill in applying innovative multidisciplinary techniques and methods in AI/ML to identify and resolve issues; ensures resolutions are consistent with DoD autonomy guidelines.
• Demonstrates creativity and foresight by identifying and presenting detailed technical reports on new AI/ML concepts and technical directions, and by defining future technology requirements.
• Collaborates and/or directly consults with other DoD labs and organizations, academic, international and industry partners in the field of AI/ML and data science.
• Perform trade-space analysis, and gain scientific knowledge in weapon data science, as demonstrated by at least 10 years of experience in the following technology areas:
  • digital engineering, algorithm development, data science, weapon open system architecture, operations research analysis, interface controls, reverse engineering , cyber defense, software enabled services, model based system engineering.

Roles & Responsibilities:

• Contribute to the technical work program of one or more projects and produce quality products focused on successful sponsor outcomes.
• Provide thought leadership and collaborate with academic and industry partners.
• Provide exemplary leadership, caring mentorship and collaborative technical advice to staff.
• Use modern software engineering techniques to develop AI-related software, evaluate AI solutions and compare to sponsor requirements and needs.

Requisition # 90963

Eligible for a Referral Bonus?

No

Required Qualifications

• U.S. Citizenship.

• Technical or scientific bachelor’s degree from an ABET-accredited university is mandatory. All transcripts must be provided.

• Include APDP Acquisition training certifications in resume.

• BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: You must meet the following qualification requirements by the closing date of the announcement and provide documentation to support your qualifications.

• To view qualifying educational requirements and specialized experience click on the following link:
  https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=GS-PROF

• Click on the following links to view the occupational requirements for this position: General Engineer

Desired Qualifications

Minimum Qualifications: Bachelor's Degree in Computer Science, Engineering, Statistics, Applied Mathematics, Cybersecurity or related technical field; Must be a U.S. citizen with the ability to obtain and maintain a security clearance in computer vision, statistics and/or related fields

Hands-On Experience Using Tools Such As: C/C++, Python, TensorFlow, Keras, PyTorch, dlib and database languages; Outstanding written and oral presentation skills are required for both internal and sponsor-facing communications

Preferred Qualifications:

• Advanced degree in related fields of study.
• Candidates that possess a current/active U.S. Government clearance are preferred.
• Proven experience with: Statistical Methods, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, Trust & Safety, Software Engineering or similar.
• Individuals must have one year of specialized experience, which includes mastery of advanced electronics engineering concepts, principles, practices, standards, methods, techniques, materials, and equipment sufficient to apply experimental theories, principles, and concepts to project execution and advisory services. This definition of specialized experience is typical of work performed at the next lower grade/level position in the federal service. For more information related to required qualifications for the 0800 series: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf.
• Applicants must have at least one year of specialized experience at the DR/DO-03 level (GS-14 or equivalent).
• Must be able to obtain and maintain a Top Secret SCI security clearance.

Additional Information

Your application MAY NOT be considered if all required documents are not submitted.

Current government employees must submit the most current SF 50. When uploading documents, please utilize the naming convention listed below. The Requisition Number for this announcement is 90963 :

Resume: Req No 90963_Last Name_First Name_Resume

Transcripts: Req No 90963_Last Name_First Name_Transcripts

Other Documents: Req No 90963_Last Name_First Name_Type of Document

Acceptable file types: .doc,.docx,.pdf

(Requisition 90963)

Series

0801

Air Force Research Laboratory (AFRL) employs approximately 11,500 military, civilian and contractor personnel, and manages a $7 billion portfolio of investments. The lab supports external customers and partners with industry while investing in basic research, applied research and advanced technology development. As one integrated lab, AFRL seamlessly supports the Science & Technology needs of two services: the Air Force and the Space Force.