Machine Learning Researcher

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of societys most important problems. You will work with and lead multi-disciplinary teams consisting of machine learning experts data science practitioners analysis experts and domain scientists in areas ranging from fundamental research in machine learning development deployment and performance optimization of large scale AI models to applied AI and analysis problems in fields such as high energy density physics material science predictive medicine and treatment discovery. You will also have the opportunity develop research strategies in these areas 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

• Establish independent research thrusts through strategic engagements with internal and external sponsors.
• Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications.
• Provide strategic guidance to LLNL management and demonstrate technical leadership in the research community.
• Research develop implement and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment.
• Actively participate with project scientists and engineers in defining planning and formulating experimental modeling and simulation efforts for complex problems stemming from national security applications.
• 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.5 Level

• Provide scientific and technical direction for large projects and programs.
• Support lab leadership in attracting retaining projects programs funding and staff.
• Engage and influence senior management policy makers and external sponsors.

Qualifications :

• Ph.D. in Computer Science Applied Mathematics Statistics or related field or the equivalent combination of education and related experience.
• 8 years of experience post PhD in research in machine learning and data analysis
• Significant experience in foundational or applied machine learning research area and large scale data analysis.
• Experience independently developing implementing and applying advanced statistical tools machine learning models and data analysis algorithms using modern software libraries such as C PyTorch TensorFlow or similar as evidence through medium to large scale models applications and experiments.
• Demonstrated research productivity as documented by publications reports presentations and/or open-source software in high impact venues such as IEEE Transactions NeurIPS ICML MLST PNAS etc.  
• Significant experience in working with diverse teams to solve complex problems and deliver practical solutions.
• Substantial record of sustained program development and strategic engagement in fields related to machine learning and data analysis.
• Experience leading research teams in achieving long term objectives and delivering solutions.
• 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.
• Experience in working with subject matter experts in one or more areas such as physics biology or engineering.

In Addition at the SES.5 Level

• Record of sustained engagement with regulators funding agencies top level management or other oversight agencies.
• Demonstrated record of program development in machine learning data analysis or related fields.
• Experience providing scientific and technical directions to R&D teams delivering innovative approaches with significant impact and internal and external recognition.

Desired Qualifications

• Experience with high-performance computing GPU programming parallel programming cloud computing and/or related methods including running numerical simulations or complex workflows

Pay Range

$210630 - $320580 Annually

$210630 - $267060 Annually for the SES.4

$252810 - $320580 Annually for the SES.5

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employees position within the salary range will be based on several factors including but not limited to specific competencies relevant education qualifications certifications experience skills seniority geographic location performance and business or organizational needs.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

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 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit  Clearance

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time