Senior Artificial Intelligence and Machine Learning Research Scientist
Listed on 2025-12-26
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IT/Tech
Data Scientist, Artificial Intelligence, Machine Learning/ ML Engineer, AI Engineer
Senior Artificial Intelligence and Machine Learning Research Scientist
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.
We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate D provides new methods, tools, and strategies to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving the US cyber and physical security posture.
MajorDuties/Responsibilities
- Provide technical insights for program and project developments.
- Lead teams to define and implement sponsor requirements.
- Interact with sponsors and funding agencies from project conception, proposal writing, and project execution.
- Mentor early career staff through both formal project, task, and technical leadership.
- Perform research & development at levels ranging from proof-of-concept development to software / system architecture.
- All team members 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.
- A Ph.D. in computer science, electrical engineering, or a related field and six (6) years’ experience in government service or private industry. A combination of education and relevant experience may also be considered.
- Research experience in artificial intelligence, machine learning, and data science and analytics.
- Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal processing, biometrics, digital forensics, and/or computer vision for national security applications.
- Proven track record managing and executing funding at both relatively low levels (
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