National Security Engineering Division - Machine Learning Graduate Student Intern - Summer 2024
Engineering | livermore, CA | 09/27/2023
Job Code: 705.3 Grad Student Computer Prof
Position Type: Student Intern
Security Clearance: None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation)
Drug Test: Not applicable
Medical Exam: Not applicable
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.
Please note that the pay is determined by California’s Computer Professional Exemption.
The National Security Engineering Division (NSED) within the Engineering Directorate has multiple openings for graduate level students who received a bachelor’s or master’s degree to engage in practical research to further their educational goals. You will provide technical and/or research support to projects in the areas of machine learning, accelerator physics, electrical engineering, computer science or other related fields. These positions are within the accelerator operations group of the National Security Engineering Division (NSED) within the Engineering Directorate.
In this role you will
- Students will work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of machine learning, accelerator simulation or other related fields.
- Ability to work full time for ten to twelve weeks during your internship.
- Communication skills necessary to communicate research project(s), document work and give a technical talk/presentation.
- Contribute to documentation, testing, creation or modification of Laboratory software, hardware or Computer operating systems.
- Under limited direction and supervision, will conduct research in assigned area.
- Perform technical assignments of basic degree of complexity and provide technical support to scientists in scientific research and development projects.
- Perform other duties as assigned.
- Must be a continuing college or university student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelor's or master's degree in physics, computer science, electrical engineering, machine learning or a related field.
- Experience applying advanced data analysis, machine learning, or circuit simulations to solve technical problems.
- Ability to conduct research and present and communicate concepts and ideas including research project(s), document and present work results through technical presentations and/or poster sessions.
- Effective interpersonal skills with the ability to work in a team environment.
- Academic achievement in engineering, scientific and/or technical curriculum.
- Experience working with personal computers and familiarity with Word, Excel and PowerPoint.
Qualifications We Desire
- GPA of 3.5 or above.
- Technical project experience.
- Familiarity with tools associated to your field of study.
All your information will be kept confidential according to EEO guidelines.
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.