Oak Ridge National Laboratory
Requisition Id15724
Overview Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high-impact national security missions.
We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision‑making in a variety of contexts. This position resides in the Data Science & Visualization Group in the Advanced Intelligent Systems Section, Cyber Resilience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities
Develop AI/ML models and systems for diverse data and mission contexts
Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment
Conduct rigorous statistical analysis to aid in data exploration and interpretation
Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment‑ready systems
Disseminate results via technical reports, publications, presentations, and sponsor briefings
Visualize and explain complex data and model results to technical and non‑technical audiences
Contribute to research proposals and statements of work
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
Basic Qualifications
Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
Strong Python development skills and familiarity with git, CLI tooling, VS Code
Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models
Demonstrated ability to design statistical analyses and experiments (e.g., hypothesis tests, confidence intervals)
Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results
Preferred Qualifications
Experience with predictive modeling and generative AI/LLMs, including RAG systems
Familiarity with LLM inference servers (e.g.,
vLLM
, Ollama )
Hands‑on benchmarking/Test & Evaluation of AI systems
Data visualization and dashboarding (e.g., Streamlit)
Excellent written and oral communication skills
Motivated self‑starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast‑paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever‑changing needs
Special Requirements
Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre‑placement drug test and participation in an ongoing random drug testing program.
Security, Credentialing, and Eligibility Requirements For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post‑employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three‑year residency requirement, you will be required to obtain a PIV credential to maintain employment.
About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80‑year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well‑being of you and your family. Employee amenities such as on‑site fitness, banking, and cafeteria facilities are also available for added 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.
Application Information If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
Equal Opportunity & E-Verify 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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Overview Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high-impact national security missions.
We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision‑making in a variety of contexts. This position resides in the Data Science & Visualization Group in the Advanced Intelligent Systems Section, Cyber Resilience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities
Develop AI/ML models and systems for diverse data and mission contexts
Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment
Conduct rigorous statistical analysis to aid in data exploration and interpretation
Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment‑ready systems
Disseminate results via technical reports, publications, presentations, and sponsor briefings
Visualize and explain complex data and model results to technical and non‑technical audiences
Contribute to research proposals and statements of work
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
Basic Qualifications
Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
Strong Python development skills and familiarity with git, CLI tooling, VS Code
Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models
Demonstrated ability to design statistical analyses and experiments (e.g., hypothesis tests, confidence intervals)
Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results
Preferred Qualifications
Experience with predictive modeling and generative AI/LLMs, including RAG systems
Familiarity with LLM inference servers (e.g.,
vLLM
, Ollama )
Hands‑on benchmarking/Test & Evaluation of AI systems
Data visualization and dashboarding (e.g., Streamlit)
Excellent written and oral communication skills
Motivated self‑starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast‑paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever‑changing needs
Special Requirements
Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre‑placement drug test and participation in an ongoing random drug testing program.
Security, Credentialing, and Eligibility Requirements For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post‑employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three‑year residency requirement, you will be required to obtain a PIV credential to maintain employment.
About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80‑year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well‑being of you and your family. Employee amenities such as on‑site fitness, banking, and cafeteria facilities are also available for added 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.
Application Information If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
Equal Opportunity & E-Verify 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.
#J-18808-Ljbffr