Machine Learning Researcher

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 essential to innovation and creativity for continued success of the Laboratory’s mission.

Job Description

We have multiple openings for machine learning experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society’s most important problems. You will work with or lead a multi-disciplinary team consisting of machine learning experts, data science practitioners, and domain scientists in areas ranging from fundamental research in robustness, uncertainty quantification, or interpretability in machine learning to applied problems in fields such as high energy density physics, material science, predictive medicine, and treatment discovery. You will also have the opportunity develop and lead independent research thrust and engage with a variety of related research projects in parallel computing, data analysis and visualization, or applied mathematics. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

Essential Duties

• Research, develop, implement, and evaluate new machine learning techniques.
• Provide guidance to subject matter experts in various fields to jointly explore the potential for machine learning research to solve domain specific challenges.
• Adapt current machine learning research to real world applications at scale, with potentially limited and noisy data, with a high consequence of error, and guide the development of practical solutions.
• Present and disseminate research results at scientific conferences and in peer-reviewed publications.
• Establish future research directions and author grant proposals including presentations to programmatic sponsors and external funding agencies.
• Collaborate with a broad spectrum of scientists and engineers, internally and externally, to accomplish research goals.
• Perform other duties as assigned.

In Addition, At SES.4 Level

• Establish independent research thrusts through strategic engagements with internal and external sponsors.
• Lead mid- to large-sized research teams in theoretical or applied machine learning in support of one or more mission related scientific applications.
• Provide strategic guidance to LLNL management and demonstrate technical leadership in the machine learning research community.

Qualifications

• Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship
• Ph.D. in Computer Science, Applied Mathematics, Statistics or related field or the equivalent combination of education and related experience.
• Significant experience in at least one machine learning research area, such as computer vision, natural language processing, robust optimization, interpretability, or graph-based learning.
• Significant experience in modern machine learning environments (i.e., TensorFlow, Kieras, PyTorch) and related data ecosystems.
• Significant experience in working with diverse teams to solve complex problems and deliver practical solutions.
• 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.
• Comprehensive analytical and problem-solving skills necessary to craft creative solutions and solve complex problems.

In Addition, at the SES.4 Level

• Substantial record of sustained program development and strategic engagement in fields related to machine learning.
• Substantial technical leadership in fields related to machine learning.
• Expert verbal and written communication and interpersonal skills necessary to effectively collaborate with internal and external teams to present and explain technical information and to advise senior management and external sponsors.

Desired Qualifications

• Experience with C/C++ and application development including workflow tools, batch submission, and parallel computing.
• Experience in working with subject matter experts in one or more areas, such as physics, biology, and engineering.
• Background in statistics, applied mathematics, or related area.

Additional Information

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. L and Q-level clearances require U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

Why Lawrence Livermore National Laboratory?

• Included in 2021 Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive Benefits Package
• Flexible schedules (*depending on project needs)
• Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site.

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to 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

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form.

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.

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our 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.

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.