Artificial Intelligence Engineer

Slb NV

Houston, TX

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Cloud Computing, Computer Engineering, Computer Programming, Computer Science, Data Management, Data Sets, Deep Learning, Dental Insurance, Diversity, GPU (Graphics Processing Unit), Geology, Geophysics, JAX (Java API for XML), Large-Scale Systems, Machine Learning, Manufacturing, Mathematics, Mentoring, Metrics, Multicultural, Patents, Physics, Publications, Python Programming/Scripting Language, Risk, Science Software, Simulation, Team Lead/Manager, Technical Research, Training Data Sets, Vision Plan, Waveforms
LOCATION
Houston, TX
POSTED
30+ days ago

Careers

Job Details

Artificial Intelligence Engineer

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

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  • 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
  • -

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Benefits

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International Opportunities

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

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Insurance

Health, vision, and dental insurance for you and your dependents available from day one.

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Learning Opportunities

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

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Diverse and 
Inclusive

Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.

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.

Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

SLB is 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 / 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 accommodationhotline@slb.com 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 Protected Veterans requested.

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About the Company

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Slb NV