Machine Learning Engineer

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

$132,810.00 - $170,556.00 Annually for the SES.2 level

$159,330.00 - $204,636.00 Annually for the SES.3 level

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 Engineer to collaborate with our research software teams. You will develop and maintain common infrastructure (e.g., ML library deployments, continuous integration, testing) and perform focused machine learning software development tasks across a variety of application domains. You will work on a multi-disciplinary team in an environment that focuses on problems of interest to LLNL and Department of Energy (DOE) programs. You will apply fundamental knowledge of software development and machine learning to contribute to multiple projects using creativity and imagination. This position will be in the Center for Applied Scientific Computing (CASC) division in the Computing Principal Directorate.

This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.

In this role you will

1. Employ moderately complex software engineering methods using industry standard software development practices and modern programming languages and operating systems.
2. Assist in modernizing and deploying machine learning libraries and workflows to utilize the latest high performance computing systems and/or cloud platforms.
3. Help develop, test and/or apply machine learning algorithms and pipelines to scientific applications.
4. Contribute to the fulfillment of technical projects and organizational objectives functioning as an effective team member on multi-disciplinary teams.
5. Engage other developers frequently to share relevant knowledge, opinions, and recommendations.
6. Perform other duties as assigned.

Additional Responsibilities at the SES.3 level

1. Manage multiple advanced parallel tasks and priorities of customers and stakeholders, ensuring deadlines are met, while leveraging team member’s skills.
2. Design, implement, deploy, and maintain software systems using object-oriented analysis, design, and programming techniques.
3. Provide solutions to complex problems that require in-depth analysis of tangible and intangible factors.

Qualifications

1. Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
2. Master’s degree in Computer Science, Computer Engineering or related field, or the equivalent combination of education and related experience.
3. Proficiency in a modern programming language such as C++ or Python.
4. Experience deploying machine learning pipelines in production.
5. Experience developing software on Linux HPC clusters or similar environments.
6. Ability to work with limited direction on technical tasks and develop technical solutions.
7. Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports and present and explain technical information.
8. Interpersonal skills necessary to interact with a diverse set of scientists, engineers and other technical and administrative staff in a collaborative, multidisciplinary team environment.

In Addition at the SES.3 level

1. Significant experience in working with diverse teams to solve complex problems and deliver practical solutions.
2. Advanced verbal and written communication skills necessary to interact with a multi-disciplinary research team, author technical and scientific reports and papers, and deliver scientific presentations.
3. Comprehensive analytical and problem-solving skills necessary to craft creative solutions and solve complex problems.

Qualifications We Desire

1. Experience developing and deploying containers to local and cloud environments.
2. Experience with continuous integration, testing and automated workflows.
3. Experience with build systems such as CMake and/or software packaging and deployment.

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.

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.