FWI & AI Scientist

Onesubsea; Houston (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Onesubsea in Houston, Texas is looking for an FWI & AI Scientist to lead the development of the FWI Foundation Model using AI techniques on seismic datasets. The ideal candidate will have a strong background in geophysics and machine learning, with a proven track record in developing production-grade software.

The role involves integrating AI into seismic imaging workflows and collaborating closely with stakeholders to ensure data accuracy and relevance. Candidates must possess a PhD/MS in a related field and deep expertise in Full Waveform Inversion.

Qualifications

• PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience.
• Deep expertise in Full Waveform Inversion, seismic wave propagation, and inverse problems.
• Track record of developing production-grade scientific software.

Responsibilities

• Lead development of the FWI Foundation Model.
• Integrate AI into FWI and imaging pipelines.
• Validate solutions on field data in complex geological settings.

Skills

Expertise in Full Waveform Inversion

Deep learning applications

Python programming

Machine learning lifecycle management

Education

PhD/MS in Geophysics or related fields

Tools

PyTorch

JAX

Job description

Job Title

FWI & AI Scientist

Responsibilities

• Lead the development of the FWI Foundation Model.

  Design and scale a generalizable hybrid physics‑AI foundation model on real seismic datasets.

  Propose advanced techniques including AI‑assisted velocity model building, learned regularization and preconditioning, cycle‑skipping mitigation, and accelerated forward modeling/gradient computation.

  Scale implementations for GPU clusters, HPC systems, and large-scale 3D datasets.

• Integrate AI into FWI and imaging pipelines.

  Seamlessly embed AI components into existing Full Waveform Inversion and seismic imaging workflows.

  Promote best practices in scientific software development and ML lifecycle management.

• Validate, deploy, and drive business impact.

  Validate solutions on field data in complex geological settings and establish clear performance, robustness, and risk metrics.

  Collaborate with stakeholders to ensure geological accuracy and commercial relevance.

  Mentor the team on FWI fundamentals while driving adoption of modern AI/ML techniques.

Required Qualifications

• PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience.
• Deep expertise in Full Waveform Inversion, seismic wave propagation, and inverse problems.
• Prior hands‑on industry experience in subsurface imaging is a plus.
• Track record of developing and delivering production‑grade scientific software in HPC or cloud environments, including data pipeline and imaging algorithm.

Preferred Qualifications

• Expertise in physics‑informed machine learning, learned solvers, or neural surrogate models.
• Proven success applying deep learning to physics‑based modeling and simulation.
• Experience deploying ML models at scale (lifecycle management, monitoring, reproducibility).
• Track record of high‑impact publications, patents, or industrial innovations.
• Strong Python programming skills with hands‑on experience in PyTorch or JAX.