315 web-programmer-developer-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models
-
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
-
to specifications using precision instruments. Read and understand Geometric Dimensioning & Tolerancing (GD&T) and technical drawings. Program, set-up and operate Coordinate Measurement Machines (CMM) and utilize a
-
happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental
-
amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k
-
automation, performance tuning, and system security. Develop, implement, and maintain configuration management and automation frameworks (e.g., Ansible, Puppet, Salt) to enhance reliability and reproducibility
-
Requisition Id 15046 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
-
(WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not
-
safety basis development in the High Flux Isotope Reactor (HFIR) Upgrades Project Office (HUPO). HFIR is a light-water cooled and moderated research reactor that began full-power operations in 1966
-
applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more