Pacific Northwest National Laboratory is seeking a Senior Data Scientist - AI Assurance Researcher to join their team in Richland, WA. The role involves leading machine learning experiments and evaluating AI systems to provide insights into AI model behaviors.
About the Role
As a Senior Data Scientist - AI Assurance Researcher, you will be responsible for designing and executing machine learning experiments, evaluating AI systems across various performance metrics, and developing high-quality research code. You will also assess empirical results to guide future research and conduct work in secure environments.
About You
Required:
BS/BA and 5+ years of relevant work experience -OR- MS/MA and 3+ years of relevant work experience -OR- PhD with 1+ year of relevant experience.
Preferred:
Degree in computer science, engineering, mathematics, or related fields.
Familiarity with the current ML research landscape, especially xAI, adversarial machine learning, AI safety, and the science of deep learning.
Interest in taking research prototypes to deployable tools for AI researchers.
Familiarity with PyTorch and other associated deep learning libraries.
Hands-on experience analyzing the internal structures of deep learning models, particularly those associated with large language models and large vision models.
SCI Clearance.
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, and fertility support.
Automatic enrollment in company-funded pension plan and eligibility for 401(k) savings plan with company match.
Accrual of up to 120 vacation hours per year and ten paid holidays per year.
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory draws on its distinguishing strengths in chemistry, Earth sciences, biology, and data science to advance scientific knowledge and address challenges in energy resiliency and national security.
Company Size: 5001-10,000 employeesResearch Services