FWI & AI Scientist

Digital Technology & Research, Engineering & Design, Manufacturing 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 Benefits Health, vision, and dental insurance for you and your dependents available from day one. Opportunities for global learning and exposure to diverse teams. Commitment to diversity, equity, and inclusion. About Us We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. We are an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. We will endeavor to make a reasonable accommodation or modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact View email address on click.appcast.io to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to. SLB is a VEVRAA Federal Contractor – priority referral for protected veterans requested. #J-18808-Ljbffr Schlumberger Limited