Research Scientist, HPC and AI
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Oak Ridge National Laboratory
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Oak Ridge, TN
SessionJob Postings
DescriptionOverview:
The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking a driven research scientist in the very broad areas High-Performance Computing (HPC) and AI and their intersection. Examples of areas of research interest include but not limited to:
Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale distributed machine learning using framework such as PyTorch and TensorFlow.
Operational data (power, energy, CPU/GPU utilizattion, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation.
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.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties and Responsibilities:
Research, develop and deploy new cutting-edge 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 latest advancements in ML/DL.
Author peer reviewed papers, technical papers, reports, and proposals.
The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking a driven research scientist in the very broad areas High-Performance Computing (HPC) and AI and their intersection. Examples of areas of research interest include but not limited to:
Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale distributed machine learning using framework such as PyTorch and TensorFlow.
Operational data (power, energy, CPU/GPU utilizattion, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation.
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.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties and Responsibilities:
Research, develop and deploy new cutting-edge 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 latest advancements in ML/DL.
Author peer reviewed papers, technical papers, reports, and proposals.
RequirementsBasic Qualifications:
Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
Preferred Requirements:
2+ years of relevant research experience outside of Ph.D.
Experience leading major projects in laboratory or academic settings.
A 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. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity
Company Descriptions the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented 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: 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.
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.
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2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location