Company Description

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 important for continued success of the Laboratory’s mission.

Pay Range

$6,692.90 - $7,650.50 Monthly

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.

Job Description

We have an opening for a Machine Learning Academic Graduate Appointee. You will develop machine learning models under the guidance of staff members for the Advanced Sources and Detectors’ Scorpius linear accelerator project. These models will be used to help experimenters understand the behavior between the accelerator cells and the solid-state pulsed power system. The information obtained from these models will be used to devise algorithms that allow the control system to achieve optimal results at the accelerator cell that satisfy project requirements. This position is in the National Security Engineering Division (NSED), within Strategic Deterrence.

You will 

Work under general guidance of physicists to understand the accelerator physics governing the fundamental operation of the linear accelerator.Conduct and organize large amounts of experimental data.Develop machine learning models to improve the understanding of the behavior of the accelerator cells with the solid-state pulsed power system.Characterize the performance and accuracy of the models  through statistical analysis, simulations, real-time experiments, etc.Collaborate with scientists, engineers, and technicians to accomplish research goals.Perform other duties as assigned. Qualifications Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.Bachelor’s degree in Computer Science, Mathematics, Physics or related field.Experience in scientific computing, algorithms, machine learning theory and application demonstrated by coursework, training, and/or work experience.Experience conducting and/or engaging in experiments for gathering sufficient data for machine learning.Sufficient verbal and written communication skills necessary to effectively collaborate in a team environment, document analyses and prepare, present and explain technical information and publications.Strong initiative, interpersonal skills, creativity, and ability to work in a collaborative, multidisciplinary team environment.           

Desired Qualification

Master’s degree in Computer Science, Mathematics, Physics or related field.Previous LLNL internship experience relating to scientific computing, algorithms, and machine learning theory.Experience with C, C++ and/or Python.Experience with H5 and JSON file formats.Familiarity with popular machine learning libraries such as Keras, Tensorflow, PyTorch or related.Familiarity with a UNIX environment.Involement in software projects that follow the principles of Agile development. Additional Information

#LI-Onsite

Position Information

This is a one-year Academic Graduate Appointee, open to those who have been awarded a degree at the time of the employment offer.

Why Lawrence Livermore National Laboratory?

Included in 2024 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversityOur core beliefs - visit https://www.llnl.gov/diversity/our-values Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

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.

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