Responsibilities
include :
- Design, implement, and iterate on novel machine learning and deep learning methods to directly address National Security problems.
- Conduct cutting-edge research supporting national security missions.
- Collaborate with cross-disciplinary teams to integrate AI technologies into existing and next-generation AI / ML solutions.
- Produce solutions driven by artificial intelligence, machine / deep learning methods, or exploratory data analysis from complex and high-dimensional datasets.
- Be able to recreate state of the art architectures, training techniques and analyses from journal publications with minimal examples and / or author code access.
- Define scope and lead project teams, mentor interns and early career staff.
- Leader in external professional communities, keeps up with advancements in AI, machine learning, and data science methods to identify opportunities for innovation and improvement in national security applications.
- Demonstrate ability to transfer skills across application domains, while demonstrating strong expertise in at least one domain.
- Applies knowledge of statistics, machine learning, advanced mathematics, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and / or unstructured data.
- Designs, develops, and implements methods, processes, and systems to analyze diverse data to support National Security missions.
Qualifications
Minimum Qualifications :
- BS / BA and 5+ years of relevant work experience -OR-
- MS / MA and 3+ years of relevant work experience -OR-
- PhD with 1+ year of relevant experience
Preferred Qualifications :
- 4+ years of experience in Python development and common associated libraries (e.g., Pandas, Numpy, Scipy).
- 4+ years of experience developing, training, and testing machine learning models in frameworks like PyTorch and Scikit-Learn.
- 4+ years in machine learning or applied science / research.
- Experience applying machine learning and artificial intelligence to one or more modalities such as text, image, time-series, sensors, radio-frequency data, multimodal applications.
- 2+ years of experience in AI / ML / DL in applied science / research for national security challenges.
- Active DOE Q clearance and ability to maintain such clearance.
- Active TS / SCI clearance and ability to maintain such clearance.
Hazardous Working Conditions / Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
Requirements :
- U.S. Citizenship
- Background Investigation : Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
- Drug Testing : All Security Clearance positions are Testing Designated Positions, which means that the candidate selected is subject to pre-employment and random drug testing.
In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note : Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 months can be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.