Computer Scientist

Key Skills

Java Programming, Analytical and Problem solving, Leadership, Python Programming, C++, SQL, Machine learning techniques, Keras software library, PyTorch, TensorFlow

Job Description

We have multiple openings for Machine Learning Researchers in the field of scalable machine learning to join our team to help advance the discipline, as well as to apply cutting edge tools and techniques to some of society’s most important problems. You will work as part of a multi-disciplinary team consisting of machine learning experts, data science practitioners, and domain scientists in areas such as high energy density physics, material science, cancer biology, natural language processing, and multi-physics simulations. You will also have the opportunity develop and lead independent research thrust and engage with a variety of related research projects in parallel computing, large scale machine learning, data analysis and visualization, or applied mathematics. These positions are in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

In this role you will

• Research, develop, implement, and evaluate new parallel algorithms and machine learning techniques.
• Jointly explore the potential for machine learning research to solve domain specific challenges by interacting with subject matter experts in various fields.
• Adapt current machine learning research to real world applications at scale, with potentially limited noisy data, with a high consequence of error, and integrate solutions into practical tool chains.
• Present and disseminate research results at scientific conferences and in peer-reviewed publications.
• Provide input to future research directions and author grant proposals including proposal presentations to potential sponsors.
• Accomplish research goals in collaboration with a broad spectrum of scientists and engineers, internally and externally.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

• Independently solve complex research challenges in theoretical or applied machine learning. 
• Lead small to mid-sized projects related to machine learning and its application to one or multiple mission related scientific applications.
• Serve as a primary technical contact on projects and/or areas of expertise.

Qualifications

• Ph.D. in Computer Science, Applied Mathematics, Statistics or a related field or the equivalent combination of education and related experience.
• Experience in at either parallel, distributed memory algorithms or at least one machine learning research area such as computer vision, natural language processing, robust optimization, interpretability, or graph-based learning
• Broad experience in modern machine learning environments (i.e., TensorFlow, Keras, PyTorch and related data ecosystems). 
• Experience with software development environments such as Python, C++, and MPI.
• Experience with common UNIX tools and version control. 
• Proficient 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 with limited direction.

Additional Qualifications, at the SES.3 level

• Significant record of successful proposal writing and program development, and experience leading research and development in support of programs or R&D.
• Significant technical leadership in fields related to machine learning.
• Significant experience mentoring students and/or postdocs.

Qualifications We Desire

• 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

Why Lawrence Livermore National Laboratory?

• Included in 2021 Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive
• 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

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

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Position Information

This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).

Why Lawrence Livermore National Laboratory?

• Included in 2022 Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive
• Flexible schedules (depending on project needs)
• Collaborative, creative, inclusive, and fun team environment