Job Description

Join CMG’s Innovation Lab asMachine Learning Engineer with a Master’s or PhD focused on Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNOs), Deep Reinforcement Learning (DRL) for reservoir and CFD applications. In this role you’ll blend advanced ML theory with practical reservoir modeling, driving accuracy and performance improvements from concept through production.

Key Responsibilities

Simulation & ML Integration:

  • Design and implement PINN-based solvers, FNO surrogates or others to accelerate reservoir simulation and optimize subsurface workflows.
  • Integrate your models into CMG’s simulation pipeline, ensuring numerical stability and scientific rigor.
  • Build scalable data pipelines for large-scale geological and production datasets.
  • Containerize and deploy inference services, wrapping PINN/FNO models with robust APIs.

Strategic Roadmap:

  • Collabora...

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