Requisition Id11500

Overview:

Ready to apply your HPC and AI skills in a premier research institution? The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking hardworking research scientists in the very broad areas of intersection of High-Performance Computing (HPC) and AI. Examples on areas of research interest include:

• NLP and Foundational model pre-training human-in-loop reinforcement learning and fine-tuning.

• Performance analysis and optimization of large-scale AI/ML stack and applications including computational optimization of mixed-precision kernels data parallelism model-parallelism collective communication patterns and strategies for large-scale distributed machine learning using frameworks such as PyTorch and TensorFlow.

• Operational data (Power energy CPU/GPU utilization job scheduling large scale storage and I/O traces system logs) analytics to enable data-driven intelligence and facility innovation via novel applications of ML/AI techniques such as large-scale language model and causality analysis.

• AI algorithms for handling sensitive data using methods such as Federated Learning Differential Privacy and Secure Multiparty Computing among others.

• Data analytics pipelines from the Edge to Exascale.

• Visualization of large-scale HPC/AI discovery campaigns.

At the NCCS and its Leadership Computing Program (OLCF) we provide world class computing facilities to applications across all computational domains and subject areas. Through this position you are able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are a diverse dynamic environment that welcomes those with initiative and creativity.

Major Duties and Responsibilities:

• Research develop and deploy new groundbreaking tools and frameworks of scalable ML/DL on leadership computing platforms.

• In collaboration with domain scientists identify and extract ML/DL workflow and patterns and drive the design development and deployment of new scalable ML-as-service solutions.

• Engage with ML academic communities to stay on top of the latest advancements in ML/DL.

• Author peer reviewed papers technical papers reports and proposals.

Basic Qualifications:

• Ph.D. in Computer Science Computer Engineering or a field closely related to the job duties of this position.

Preferred Requirements:

• 3+ years of relevant research experience outside of Ph.D.

• Experience leading major projects in laboratory or academic settings.

• Strong publication record and record of developing high-impact capabilities and tools.

ORNL Ethics and Conduct

As a member of the ORNL scientific community you will be expected to commit to ORNL's Research Code of Conduct. A description and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity

Benefits at ORNL

ORNL offers competitive pay and benefits programs to attract and retain hardworking people. The laboratory offers many employee benefits including medical and retirement plans and flexible work hours to help you and your family live happy and healthy. Employee amenities such as on-site fitness banking and cafeteria facilities are also provided for convenience.

Other benefits include the following: Prescription Drug Plan Dental Plan Vision Plan 401(k) Retirement Plan Contributory Pension Plan Life Insurance Disability Benefits Generous Vacation and Holidays Parental Leave Legal Insurance with Identity Theft Protection Employee Assistance Plan Flexible Spending Accounts Health Savings Accounts Wellness Programs Educational Assistance Relocation Assistance and Employee Discounts.

In addition we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

If you have difficulty using the online application system or need an accommodation to apply due to a disability please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc .docx) Adobe (unsecured .pdf) Rich Text Format (.rtf) and HTML (.htm .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants including individuals with disabilities and protected veterans are encouraged to apply. UT-Battelle is an E-Verify employer.