AI Cyber Engineer

UT-Battelle; Oak Ridge (TN); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

Relocation assistance

Wellness programs

401(k) Retirement Plan

Job summary

UT-Battelle’s Oak Ridge National Laboratory (ORNL) seeks a technically skilled contributor in AI/ML research to develop models, reproducible pipelines, and robust evaluation frameworks for cyber and cyber-physical security projects. The role emphasizes cutting-edge research, rigorous experimentation, and collaboration across disciplines.

You will disseminate findings through publications and briefings, contribute to benchmark development, and support deployment-ready systems while aligning with

Qualifications

• MS in computer science or related field required, with minimum one year of relevant experience.
• Strong foundation in machine learning and deep learning.
• Strong foundation in cybersecurity basics (file and network traffic analysis).

Responsibilities

• Design reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment.
• Contribute to requirements definition, design, and software development for projects as directed by PI or software lead.
• Benchmark AI/ML systems against performance metrics and robustness; define measures of success for deployment-ready systems.
• Visualize and explain complex data and model results to both technical and non-technical audiences.
• Support ORNL’s mission and promote a respectful, inclusive workplace.

Skills

Machine learning

Deep learning

Cybersecurity basics

Technical communication

Education

MS in computer science

Tools

Python

PyTorch

Data visualization

Job description

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 focus on work at the cutting edge of cyber and cyber-physical security. This position resides in the Emerging Cyber Technologies Research Group in the Resilient Cyber-Physical Systems Section, Cyber Resilience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities

• Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment.
• Contributes to requirements definition, design, and development of software applications in supporting the needs of projects as directed by the Principal Investigator and/or software team lead.
• Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment-ready systems.
• Visualize and explain complex data and model results to technical and non-technical audiences.
• 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

• An MS in computer science or related discipline and a minimum of one year of relevant experience.
• Strong foundation in machine learning and deep learning.
• Strong foundation in the basics of cybersecurity such as file and network traffic analysis.

Preferred Qualifications

• Experience using novel machine learning architectures for cybersecurity applications.
• 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.
• Active security clearance.

Special Requirements

• Visa sponsorship is not available for this position.
• 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.

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.

• 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
• Employee Discounts

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.

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.