Buen Sueldo : Machine Learning Engineer – PINN / FNO & Reservoir Simulation...

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.
• Simulation & ML Integration : Integrate your models into CMG’s simulation pipeline, ensuring numerical stability and scientific rigor.
• Data & Pipeline Engineering : Build scalable data pipelines for large-scale geological and production datasets.
• Data & Pipeline Engineering : Containerize and deploy inference services, wrapping PINN / FNO models with robust APIs.
• Strategic Roadmap : Collaborate with domain experts to define a multi-year ML / AI strategy for reservoir simulation.
• Strategic Roadmap : Identify key research areas and drive prototyping of next-generation ML solvers.
• Early-Stage Research & Delivery : Lead R&D projects—from literature review and algorithm design through hands-on implementation and performance benchmarking.
• Early-Stage Research & Delivery : Validate model accuracy against high-fidelity simulators and real field data
• Cross-Functional Collaboration : Pair with software engineers to productionize algorithms under clean-architecture and CI / CD best practices.
• Cross-Functional Collaboration : Present findings, trade-offs, and performance metrics to stakeholders in product and subsurface teams

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

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.

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