Research Scientist, AI at Scale for Science

UT-Battelle; Oak Ridge (TN); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance

On-site amenities

Job summary

UT-Battelle's Oak Ridge National Laboratory (ORNL) invites applications for a Research Scientist in the Analytics and AI Methods at Scale (AAIMS) group at NCCS. The role focuses on advancing AI for science, including reasoning, federated learning, RL for self-improving models, and applying these methods on leadership-class supercomputers.

You will design, train, and evaluate AI systems that plan, reason, and act to accelerate discovery across domains such as materials, chemistry, climate,

Qualifications

• PhD in CS/CE or closely related field.
• Proven HPC/AI research with large-scale training or distributed systems.
• Strong Python, C/C++, and ML framework experience (e.g., PyTorch).

Responsibilities

• Design, train, and evaluate AI systems at scale on HPC resources.
• Collaborate with researchers and domain scientists on AI methods and applications.
• Publish findings and contribute to open-source projects.

Skills

PhD in Computer Science/Engineering

HPC/AI research experience

Python

C/C++

PyTorch

Education

PhD in Computer Science or related field

Tools

PyTorch

DeepSpeed

Megatron-LM

Job description

UT-Battelle's Oak Ridge National Laboratory (ORNL) invites applications for a Research Scientist in the Analytics and AI Methods at Scale (AAIMS) group at NCCS. The role focuses on advancing AI for science, including reasoning, federated learning, RL for self-improving models, and applying these methods on leadership-class supercomputers.

You will design, train, and evaluate AI systems that plan, reason, and act to accelerate discovery across domains such as materials, chemistry, climate,