LLNL
The position is a postdoctoral research role at Lawrence Livermore National Laboratory focused on developing advanced machine learning methods for applications in AI Safety, Security, material science, bio assurance, and uncertainty quantification. The role involves interdisciplinary research to improve the safety and trustworthiness of machine learning models, collaborating with scientists and engineers in national security and scientific research projects.
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.
19% below the average for this role
Postdoctoral Researcher in AI‑Driven Semantic Structure Extraction
Constructor Labs
Postdoctoral Data Science Research Fellowship
mountsinaihospital.com
Staff Applied Researcher
Capital One
Postdoctoral Research Fellow – Modeling & Informatics
MSD
Sr. Staff Applied Researcher
Capital One
Postdoc (100% Time)
universityofsoutherndenmark.com