AI Engineer - AI for Science and National Security

Requisition Id 15252 

Overview:

Do you have a passion for applying AI methods for accelerating scientific discoveries and an ability to think outside of the box in a collaborative and open environment?  If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new technical professional position in AI for science and national security.

 

As a technical professional, you will help solve some of the most challenging problems faced by the nation. You will perform groundbreaking work on a wide range of significant problems, and you will apply your work to exciting research in multi-disciplinary domains alongside globally recognized experts. You will bring creative thinking, teamwork, AI, and machine learning skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through software and presentations.

 

 

The Learning Systems Group at the Oak Ridge National Laboratory focuses on artificial intelligence and computational research and applies this knowledge to support the nation’s leading initiatives. We hire top researchers and engineers who are ready to tackle the hardest problems faced by both the US and the world. Researchers of the Learning Systems group are changing the world with their research, and we are committed to hiring and retaining highly motivated, energetic, and creative individuals that will help us continue our breakthrough scientific endeavors.

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. 

 

Major Duties/Responsibilities:

• Conduct independent and collaborative software engineering in the general areas of AI for science,  and national security, focusing on high-impact scientific and national security problems
• Apply state-of-the-art AI techniques in high-impact application areas such as text extraction from scientific publications, building knowledge graphs, developing AI testing and validation systems.
• Collaborate with national security and military agencies to develop solutions that support decision-making processes.
• Build strong collaborations within ORNL and across the global research and engineering communities.
• Develop ground breaking software to solve challenging problems in science and national security.
• Be a part of a collaborative research environment which will provide the opportunity to perform cutting-edge research in AI, Large language model, deep learning and scientific computing.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. 

 

Basic Qualifications:

• A BS or certificates in AI, computer science, or related field.
• Skill Bridge Intern experience at ORNL.
• Demonstrated experience working with machine learning and data analytics using tools in programming languages and frameworks such as Python, PyTorch, Ollama, langchain, Pandas, Numpy, SKlearn, TensorFlow, Hugging Face etc., in applied problem-solving contexts.
• Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers).
• A broad understanding of machine learning methodologies and data science methodologies and techniques, (e.g. supervised and unsupervised learning, feature selection/engineering, hyperparameter optimization, dimensionality reduction, embeddings, etc.)
• An understanding of the operations and challenges with the national security and military environment.
• The ability to interaction with national security sponsors and attract new funding
• The ability to lead a technical team

Preferred Qualifications: 

• An active Q/SCI clearance
• An MS degree in computer science or a related field.
• Excelle