Pacific Northwest National Laboratory · 5 hours ago
Data Scientist II - AI for RF/Remote Sensing
Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and national security solutions. They are seeking a Data Scientist to bridge foundational research and practical implementation in AI for Radio Frequency (RF) and Remote Sensing, addressing complex challenges in communication and signal processing.
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Responsibilities
Conduct research and implement AI/ML algorithms for RF signal processing, including but not limited to intelligent spectrum awareness, opportunistic sensing, and adaptive communication systems
Apply machine learning and deep learning techniques to improve the analysis, interpretation, and management of RF signals in noisy, dynamic, or contested environments
Develop and integrate AI/ML models into RF communication and remote sensing workflows in collaboration with multidisciplinary teams
Implement and iterate on novel AI/ML methods to directly address National Security problems
Prototype and demonstrate edge implementations of RF AI/ML models on hardware
Reproduce and adapt state-of-the-art models, training methods, and digital signal processing components from academic literature with senior technical guidance but minimal examples and/or author code access
Maintain awareness of emerging technologies in AI, machine learning, remote sensing, and RF technologies to identify opportunities for technical innovation
Qualification
Required
BS/BA and 2 years of relevant experience -OR-
MS/MA -OR-
PhD
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 applicant selected for hire is subject to pre-employment drug testing, and post-employment 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)
Preferred
Degree in computer science, engineering, physics, mathematics, or a related field
Foundation in the physics and engineering principles of radio frequency (RF) and remote sensing, coupled with practical experience applying these concepts in AI/ML workflows
Experience in AI/ML/DL in applied science/research for national security missions
Experience in complex-valued machine learning
Familiarity with the current AI/ML research landscape, particularly methods and applications relevant to RF signal processing and remote sensing
Experience implementing machine learning and artificial intelligence techniques for communications, signal processing, time series, RF applications
Experience developing, training, and testing machine learning models in frameworks like PyTorch
Proficiency in Python development and common associated libraries (e.g., pandas, numpy, scipy)
Demonstrated communication and cross-functional collaboration skills
Possession of an active DOE Q clearance
Possession of an active TS/SCI clearance
Benefits
Medical insurance
Dental insurance
Vision insurance
Robust telehealth care options
Several mental health benefits
Free wellness coaching
Health savings account
Flexible spending accounts
Basic life insurance
Disability insurance
Employee assistance program
Business travel insurance
Tuition assistance
Relocation
Backup childcare
Legal benefits
Supplemental parental bonding leave
Surrogacy and adoption assistance
Fertility support
Company-funded pension plan
401 (k) savings plan with company match
Up to 120 vacation hours per year
Ten paid holidays per year
Company
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory operates as a government research laboratory.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of Energy
2022-07-14Grant
2018-07-16Grant
Leadership Team
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-11
Pacific Northwest National Laboratory
2026-01-03
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