PNNL's National Security Directorate (NSD) and its AI and Data Analytics Division are looking to solve complex data and analytic challenges by refactoring and modularizing research code for maintainability, extensibility, and reusability, enabling faster innovation and fielding of results.
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.
- 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.
- 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.
