Senior AI Computational Engineer in Geoscience Research

University of Texas at Austin; Austin (TX); On-site; USD 95,000 - 120,000; Full time

Job summary

The University of Texas at Austin invites applications for an AI Computational Scientist – Senior Software Engineer in the Jackson School of Geosciences. This role provides technical leadership to advance AI/ML in Earth and planetary science research across three units and supports the Dean's AI initiatives.

You will design and implement scientific machine-learning workflows, collaborate with faculty and researchers, and help translate AI methods into robust software, training materials, and

Qualifications

• Master's degree in Earth sciences, computational sciences, or a related field.
• Demonstrated experience developing, training, and evaluating ML models using modern frameworks.
• Experience with Linux-based HPC environments and version control.

Responsibilities

• Partner with faculty and researchers to accelerate AI/ML-driven geoscience research.
• Design, implement, and evaluate ML workflows for Earth/planetary science applications.
• Develop scientific software and computational workflows with researchers.

Skills

Communication

Time management

Collaboration

Independent work

Education

Master's degree

Ph.D. (preferred)

Tools

PyTorch

JAX

TensorFlow

Job description

The University of Texas at Austin invites applications for an AI Computational Scientist – Senior Software Engineer in the Jackson School of Geosciences. This role provides technical leadership to advance AI/ML in Earth and planetary science research across three units and supports the Dean's AI initiatives.

You will design and implement scientific machine-learning workflows, collaborate with faculty and researchers, and help translate AI methods into robust software, training materials, and