Senior Artificial Intelligence and Machine Learning Research Scientist at Oak Ridge National Laboratory
Oak Ridge, TN 37830, USA -
Full Time


Start Date

Immediate

Expiry Date

20 Jul, 25

Salary

0.0

Posted On

20 Apr, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Research, Instructions, Communication Skills, Biometrics, Data Science, Artificial Intelligence, Participation, Digital Forensics, Funding, Signal Processing, Addition, Computer Science, Analytics, Machine Learning

Industry

Information Technology/IT

Description

OVERVIEW:

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 at ORNL. CRID 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.

BASIC QUALIFICATIONS:

  • 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.

PREFERRED QUALIFICATIONS:

  • 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 (<1 full time equivalent) to larger efforts (10+ full time equivalence).
  • 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 given timeframes and adapt to ever changing needs.

SPECIAL REQUIREMENTS:

Three (3) references are required.
Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov) with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

  • Login to your account via jobs.ornl.gov
  • View Profile
  • Under the My Documents section, select Add a Document

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) 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. In addition, due the SCI, you may also be subject to random polygraph testing.

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.
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