ResponsibilitiesPNNL is seeking a Lead Machine Learning Engineer to lead the development and evolution of software that brings emerging research methods into sponsor environments. You will work with researchers, engineers, and U.S. government stakeholders to shape technical approaches, resolve difficult implementation and integration challenges, and guide shared software through deployment and continued improvement.
You will contribute directly to shared codebases, from experimental implementation through deployment primarily in unclassified sponsor environments. The team maintains and improves the software over time. The work focuses on deep learning methods for large language models and computer vision. Projects span research areas such as AI Assurance, agentic AI, and applied mathematics, with opportunities to work with other models and methods.
You will lead through project teams, remain hands-on in technical work, and help engineers grow through mentoring, feedback, and opportunities to take on greater responsibility.
Key Responsibilities- Set architecture and engineering direction for complex software capabilities involving multiple components, contributors, and stakeholder needs.
- Guide the architecture and implementation of agentic AI systems across shared codebases, working with researchers and engineers to resolve tradeoffs involving model and tool integration, workflow orchestration, reliability, and sponsor deployment constraints.
- Work with researchers to interpret and adapt emerging methods, resolving difficult tradeoffs among research intent, implementation behavior, performance, and deployment constraints.
- Contribute directly to consequential implementation and debugging work, including deep learning methods in PyTorch.
- Lead software evolution through development, deployment, and continued maintenance, coordinating technical plans, dependencies, and contributions across project teams.
- Align interfaces and implementation approaches across shared codebases with researchers, engineers, and U.S. government stakeholders.
- Guide testing and evaluation approaches that verify algorithmic behavior, integration, and reliability as methods and software change.
- Guide reproducible development and release practices, including dependency management, automated testing, documentation, and compatibility across components.
- Develop engineers through design discussions, code reviews, sustained mentoring, and opportunities to take on greater responsibility.
- Shape technical plans and contribute to proposals with collaborators to support continued software development and new capabilities.
- Conduct work in secure environments in accordance with operational security requirements.
This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. QualificationsMinimum Qualifications:
- BS/BA and 7+ years of data science experience -OR-
- MS/MA and 5+ years of data science experience -OR-
- PhD with 3+ years of data science experience.
- Experience using Python with PyTorch, TensorFlow, or a similar deep learning framework.
- Experience implementing or adapting methods for large language models, computer vision, or related deep learning applications.
Preferred Qualifications:
- Experience leading software architecture, design, and implementation across multiple components and stakeholders, including guiding technical decisions and mentoring engineers.
- Experience leading the development and evolution of agentic AI systems, including reusable components, evaluation, observability, and deployment across multiple contributors or projects.
- Experience interpreting technical literature or mathematical descriptions, discussing assumptions with researchers, and implementing, adapting, or debugging methods for research and deployment, particularly in AI Assurance, agentic AI, or applied mathematics.
- Experience maintaining and evolving shared software, including managing interfaces, dependencies, and integration changes, with practices for testing, reproducible development, code review, and releases.
- Experience coordinating software development across organizations or with U.S. government stakeholders, deploying and improving software in sponsor environments, or developing technical plans and proposals for research or software development.
- Experience supporting national security missions.
Hazardous Working Conditions/EnvironmentNot applicable.
Additional InformationThis position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
- 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).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.eferral Eligible"
Testing Designated PositionThis position is a Testing Designated Position (TDP). 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.
Rockstar RewardsEmployees and their families are offered 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, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**All benefits are dependent upon eligibility.
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Notice to ApplicantsPNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
Minimum SalaryUSD $166,800.00/Yr.
Maximum SalaryUSD $275,200.00/Yr.
