Artificial Intelligence and Data Science Scientist; Scientist

What You Will Do

This position is open for external candidates only to apply.

The Earth and Environmental Sciences Division (EES), Energy and Natural Resources Security Group (EES-16) at Los Alamos National Laboratory is building next-generation artificial intelligence and data platforms that transform complex information into actionable intelligence for national security decision-makers. As a member of our team, you'll develop enterprise-scale data systems that power machine learning algorithms analyzing critical infrastructure helping the nation anticipate and respond to emerging threats.

Initially, you'll design, implement, and deploy scalable software systems supporting AI-enabled analytics and large-scale data integration. Responsibilities include developing production-quality Python code, designing APIs and data services, building cloud-native data pipelines, integrating heterogeneous data sources, and creating scalable analytics workflows for machine learning and scientific applications. You'll work with modern software engineering practices including version control, CI/CD, containerization, cloud-native architectures, and distributed computing, with opportunities to contribute to MLOps, Dev Sec Ops , and advanced AI workflows that transition research into operational capabilities.

You’ll collaborate with researchers and software engineers across multiple national laboratories and scientific disciplines—from computer science and mathematics to economics and engineering—to solve problems that transcend any single domain. Your work will span cloud-native architectures, large language models, knowledge graphs, and intelligent systems that augment human decision-making. This cross-disciplinary environment demands intellectual agility: you won’t focus on a single technology stack but will rapidly acquire new skills and pivot between emerging technologies as national security priorities evolve.

This isn’t abstract research. Your innovations will deploy in systems supporting government agencies protecting the nation’s most vital assets. You’ll thrive in a fast-paced environment where your ability to quickly learn and adapt is as valuable as your existing expertise. As AI advances and new threats emerge, you’ll be at the front‑line of innovation, constantly learning and applying cutting‑edge technologies to mission-critical problems.

Unlike traditional positions focused on a single application, this role offers the opportunity to develop technologies supporting high-impact national security missions. Your success depends on openness to change, enthusiasm for learning in a fast-paced research environment, and ability to bridge disciplines and technologies as the national security landscape continuously transforms.

• Experience in Python Programming
• Demonstrated experience working in collaborative software development environments, including Git-based workflows, automated unit and integration testing, and building or maintaining CI/CD pipelines.
• Experience working with data processing, analysis, and/or machine learning workflows
• Ability to collaborate effectively in multidisciplinary scientific teams
• Strong commitment to continuous learning with demonstrated self‑motivation and ability to work independently.
• Ability to articulate concepts through various oral and written communication media, using a diverse range of technical and business acumen.
• Ability to obtain a DOE Q and SCI security clearances, which generally requires U.S. citizenship.

Education/

Experience:

Position requires a bachelor's degree in a STEM field from an accredited college or university and 2 years of related experience, or an equivalent combination of education and experience directly…