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Pacific Northwest National Laboratory · 2 weeks ago

Machine Learning Engineer-AI Assurance, Level II

Seattle, WA

Full-time

Onsite

Entry, Mid Level

$114K/yr - $182K/yr

2+ years exp

Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and technological innovation. They are seeking a Machine Learning Engineer-AI Assurance, Level II to refactor and modularize research code, collaborate with interdisciplinary teams, and develop tools and APIs for mission-relevant environments.

Biomass EnergyEnergyGovernmentProduct ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

PythonML frameworksResearch engineeringAI systems integrationApplied data scienceSCI ClearanceCommunicationCross-functional collaboration

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)