Machine Learning Researcher

Learn How We Make
Science and Technology Happen

We support diverse research activities with talented staff, state-of-the-art facilities and core competencies. From internal collaboration to external partnerships, we work together to advance scientific discovery.

Artificial intelligence is revolutionizing science and technology. Learn how LLNL is applying advanced AI models and methods alongside experimental data and physics-based modeling to accelerate discovery, improve predictive understanding and strengthen mission execution.

Mid-Senior Level | Full-time
Information Technology/Computing | Livermore, CA | 08/18/2026
Reference #: REF
8691K
Job Code: SES.
4 Science & Engineering MTS 4 / SES.
5 Science & Engineering MTS 5
Organization: Computing
Position Type: Flexible Term
Security Clearance: None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable Apply Now

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society’s most important problems. You will work with and lead multi-disciplinary teams consisting of machine learning experts, data science practitioners, analysis experts, and domain scientists in areas ranging from fundamental research in machine learning, development, deployment, and performance optimization of large scale AI models, to applied AI and analysis problems in fields such as high energy density physics, material science, predictive medicine, and treatment discovery.

You will also have the opportunity develop research strategies in these areas and engage with a variety of related research projects in parallel computing, data analysis and visualization, or applied mathematics. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

• Establish independent research thrusts through strategic engagements with internal and external sponsors.
• Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications.
• Provide strategic guidance to LLNL management and demonstrate technical leadership in the research community.
• Research, develop, implement, and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment.
• Actively participate with project scientists and engineers in defining, planning, and formulating experimental, modeling, and simulation efforts for complex problems stemming from national security applications.
• Provide guidance to subject matter experts in various fields to jointly explore the potential for machine learning research to solve domain specific challenges.
• Adapt current machine learning research to real world applications at scale, with potentially limited and noisy data, with a high consequence of error, and guide the development of practical solutions.
• Present and disseminate research results at scientific conferences and in peer-reviewed publications.
• Establish future research directions and author grant proposals including presentations to programmatic sponsors and external funding agencies.
• Collaborate with a broad spectrum of scientists and engineers, internally and externally, to accomplish research goals.
• Perform other duties as assigned.
• Provide scientific and technical direction…