AI/ML Engineer for Advanced Simulation Models

About

Pursue cutting-edge advancements as a Machine Learning Engineer specializing in advanced simulation techniques. Emphasize integration of machine learning with reservoir modeling to achieve greater accuracy and functionality.

This position focuses on designing and implementing innovative PINN and FNO-based models, addressing the intricate challenges of reservoir and CFD applications. Collaborating with both domain experts and software engineers, you'll contribute to the strategic development of ML applications, with a strong emphasis on scientific rigor and performance validation through hands-on research.

Key Responsibilities

• Develop and implement innovative models for simulations
• Ensure integration with existing simulation pipelines
• Create and maintain scalable data processing solutions
• Lead cross-functional research and development projects
• Present findings to stakeholders in product teams

Requirements

• Master’s or PhD in Computational Science or related fields
• Expertise in Tensor Flow or PyTorch for ML frameworks
• Familiarity with DRL and policy-gradient techniques
• Proficient in programming with Python or C++
• Excellent problem-solving and teamwork abilities

Apply your machine learning skills to redefine simulation processes and enhance the overall impact of reservoir engineering.