PNNL's National Security Directorate (NSD) is seeking to address complex data and analytic challenges by integrating advanced hardware and software. The AI and Data Analytics Division needs to bridge the gap between foundational research and operational deployment, requiring code refactoring, modularization, and the development of APIs for seamless integration into mission-relevant environments.
Requirements
- Strong proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Comfortable navigating research codebases (Jupyter notebooks, unstructured scripts) and translating them into production-ready components
Responsibilities
- Refactor, modularize, and optimize research code for maintainability and scalability
- Collaborate with researchers to understand algorithmic intent and with engineers to ensure integration into broader systems
- Develop tools and APIs to enable integrations into mission-relevant environments and workflows
- Write clear, well-documented code and participate in code reviews
- Conduct work in secure environments and execute work from an operational security perspective
Other
- This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
- BS/BA and 2 years of relevant experience -OR- MS/MA -OR- PhD
- Excellent communication and cross-functional collaboration skills
- SCI Clearance
- 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.
