Lead Machine Learning Engineer IV

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.

The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.

Responsibilities

PNNL 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.

Qualifications

Minimum 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/Environment

Not applicable.

Additional Information

This 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 Position

This 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.

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence and Equal Employment Opportunity

Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.

Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.

Security, Credentialing, and Eligibility Requirements

As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.

Mandatory Requirements

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Rockstar Rewards

Employees 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.

Click Here For Rockstar Rewards

Notice to Applicants

PNNL 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 Salary
USD $166,800.00/Yr.
Maximum Salary
USD $275,200.00/Yr.

PNNL 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.

Minimum 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.