133 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information
-
success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of
-
, considering hazards for every task, and never stop learning. Additional tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
-
following verbal and/or written instructions. Good verbal and written communications skills. Record of excellent attendance and safe work practices. Good basic math skills. Proficient computer skills such as
-
Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication skills to interact tactfully with staff and external visitors
-
, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, physics science or
-
, Commercial Nuclear Power, or the Armed Services complexes. An equivalent combination of education and experience may be considered. Preferred Qualifications: Currently qualified as a DOE Senior Radiological
-
science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12) years of aligned professional experience
-
Organizational learning and technology proliferation Generate analytical assessments and technical products on emergent technological issues that are to be shared with counterparts, ORNL leadership, and sponsors