AI Applications Engineering Intern (PhD Candidates Strongly Preferred)

Apply cutting-edge AI to real-world problems in geothermal development, contributing to transformational value across the business.

🎯 About the Role

This internship offers a unique opportunity to work with a dedicated AI team, applying AI to challenges in drilling, reservoir modeling, and operations. You will develop and deploy advanced AI models, acting as an internal consultant and partnering with end-user departments.

🛠️ Key Responsibilities

• 🤖 Develop, train, and evaluate advanced AI models (LLMs, ML, time-series, hybrid physics-informed).
• 🤖 Collaborate with end-user teams to scope and deliver applied AI solutions.
• 🤖 Contribute to Fervo’s centralized AI infrastructure and data architecture.
• 🤖 Document methodologies and communicate technical findings clearly.
• 🤖 Present findings and recommendations to cross-functional teams and senior leadership.

✅ Requirements & Skills

• 🧠 Graduate student or PhD candidate in Computer Science, Applied Mathematics, or a related quantitative field with a focus on AI/ML.
• 🧠 Strong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• 🧠 Demonstrated research experience in LLMs, time-series analysis, physics-informed ML, optimization, or reinforcement learning.
• 🧠 Ability to apply theoretical knowledge to practical datasets.
• 🧠 Excellent problem-solving, communication, and collaboration skills.
• 🧠 Self-starter with the ability to scope and drive projects independently.

📍 Location: Milford, Utah, United States

📩 How to Apply