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About the Role

PNNL is seeking an AI Assurance Researcher with expertise in understanding and manipulating AI models, exploring decision boundaries, and analyzing data properties. The role involves training models, working with data embeddings, deriving theoretical queries, and translating research into actionable insights and tools.

Responsibilities

Designs and executes rigorous ML experiments following community best practices, including large-scale training and evaluation on HPC infrastructure.
Evaluates AI systems across multiple dimensions, including standard performance metrics, generalization, robustness, and out-of-distribution behavior.
Analyzes the internal structures and representations of deep learning models, with emphasis on large language models and large vision models.
Assesses empirical results to identify trends, inform research direction, and recommend next steps.
Writes high-quality, well-documented research code that supports reproducibility and collaboration.
Contributes to publications and technical reports that communicate findings to both internal and external audiences.
Collaborates with senior researchers, engineers, and cross-functional teams to integrate research into broader systems and workflows.
Conducts work in secure environments with adherence to operational security requirements.

Requirements

BS/BA and 2 years of relevant experience OR MS/MA OR PhD
Degree in computer science, engineering, mathematics, or a related field.
Familiarity with the current ML research landscape, particularly in explainable AI, adversarial machine learning, AI safety, and the science of deep learning.
Hands-on experience analyzing the internal structures of deep learning models, particularly large language models and large vision models.
Proficiency in PyTorch and associated deep learning libraries.
Experience designing and executing experiments on HPC systems.
Experience in translating research prototypes into deployable tools and capabilities.
Demonstrated strong communication and collaboration skills, with the ability to work effectively in a multi-disciplinary team environment.
U.S. Citizenship
Ability to obtain and maintain a federal security clearance.
Must meet eligibility requirements for access to classified matter.
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).
Must pass a drug test prior to commencing employment.
Must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.
Must disclose any affiliation with the government of a "country of risk" and recuse or receive approval prior to employment.

Skills

AI Assurance
AI models
Data embeddings
Theoretical queries
Research translation
ML experiments
HPC infrastructure
AI system evaluation
Deep learning models
Large language models
Large vision models
Research code
Publications
Technical reports
Collaboration
Secure environments
Operational security
Explainable AI
Adversarial machine learning
AI safety
Science of deep learning
PyTorch
Deep learning libraries

Location

Richland, WA
Seattle, WA

Work Type

Onsite

Experience Level

2 years of relevant experience (with BS/BA)
MS/MA
PhD

Education Level

BS/BA
MS/MA
PhD

Salary/Compensations

USD $114,000.00/Yr.
USD $182,100.00/Yr.

Benefits

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
Fertility support
Company-funded pension plan
401 (k) savings plan with company match
120 vacation hours per year
Ten paid holidays per year

About the Company

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.
PNNL 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 combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges.
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.

Equal 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.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment.