Machine Learning Engineer – PINN / FNO & Reservoir Simulation [Quedan 3 Días]...

Overview

People are our most valuable asset.

Join CMG’s Innovation Lab as Machine 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.

Data & Pipeline Engineering :

Strategic Roadmap :

Early-Stage Research & Delivery :

Cross-Functional Collaboration :

Note : This description reflects the general nature of the role. It’s not a complete list of responsibilities—we believe in flexibility, initiative, and growing together.

Knowledge, Skills & Experience

Academic Excellence :

Deep ML & Scientific Computing :

Software & DevOps Skills :

Analytical & Problem-Solving :

Teamwork & Communication :

Why Join Us?

No need to call us about the status of your application. We promise—we’re reviewing every submission, and if your skills are a match, you’ll hear from us!

We kindly request that external recruiters and agencies refrain from submitting unsolicited resumes or candidate profiles. Submissions without a signed agreement in place will not be considered and will become the property of CMG.

#J-18808-Ljbffr