Hiring: Senior Machine Learning Engineer Company: Pacific Northwest National Laboratory Location: Richland, WA Job Posted Time: 2026-09-03 10:29:23 Employment Type: On-site Target Skills & Keywords : Hugging Face, Jupyter, Jupyter Notebook, Machine Learning, PyTorch, Python, TensorFlow About the job Experience: •1+ year of relevant experience Required Skills: •Leads the refactoring, modularization, and optimization of research code to improve maintainability, scalability, and production readiness. •Collaborates closely with researchers to understand algorithmic intent and with engineers to ensure seamless integration into broader systems and workflows. •Architects and develops tools, pipelines, and APIs that enable deployment into mission-relevant environments. •Influences technical roadmaps and architectural decisions for AI/ML infrastructure. •Evaluates and recommend emerging tools, frameworks, and practices to keep the team at the leading edge. •Establishes and promotes best practices for translating research outputs into robust, production-quality software. •Mentors junior staff on software engineering standards, code quality, and research-to-production workflows. •Writes clear, well-documented code and leads code reviews to uphold team standards. Qualifications: •PhD with 1+ year of relevant experience •Degree in computer science, engineering, mathematics, or a related field. •Strong proficiency in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face). •Demonstrated ability to navigate research codebases (e.g., Jupyter notebooks, unstructured scripts) and translate them into production-ready components. •Excellent communication and cross-functional collaboration skills, with the ability to bridge research and engineering teams. •This position requires the ability to obtain and maintain a federal security clearance. Compensation: •Competitive benefits and rewards package •At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!