LLNL
The Machine Learning Researcher at Lawrence Livermore National Laboratory will lead and conduct independent research in machine learning and data analysis, applying advanced AI techniques to high‑impact scientific and national security problems. The role involves guiding multidisciplinary teams, developing novel algorithms, and presenting findings at conferences and in peer‑reviewed publications.
Headquarters
Livermore, California, United States
Company Size
5001-10000 employees
Founded
1952
Lawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy national laboratory in Livermore, California, that applies advanced science, engineering, and technology to solve complex national security and societal challenges. Its work spans nuclear deterrence and stockpile stewardship, nonproliferation and homeland security, high-performance computing and AI, fusion energy (including the National Ignition Facility), and research in materials, biosciences, and climate. LLNL partners with government agencies, industry, and academia to translate research into practical solutions, drive technology commercialization, and develop the next generation of scientists and engineers.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for LLNL.
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