AI Applications Engineering Internship

Fervo Energy • Houston, TX

6d

About The Position

Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station project in Milford, Utah. We're building a dedicated AI team to unlock transformational value across drilling, reservoir modeling, operations, and commercial strategy, and we're looking for a graduate-level AI Applications Engineering Intern (PhD candidates strongly preferred) to help lead the way. You'll apply cutting-edge AI to real problems in geothermal development, from hybrid AI-physics models for subsurface forecasting to RAG systems for knowledge management and predictive maintenance models, serving as an internal consultant on Fervo's Strategy Team and partnering with end-user departments to guide decision-makers through complex technical, operational, and commercial challenges.

Requirements

• 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 one or more of: large language models, time-series analysis, physics-informed ML, optimization, or reinforcement learning
• Ability to apply theoretical knowledge to practical, messy, real-world datasets
• Excellent problem-solving, communication and collaboration skills
• Self-starter with the ability to scope and drive projects independently

Nice To Haves

• Experience with energy systems, industrial operations, or geoscience applications
• Prior experience with RAG architectures, data engineering, or scalable model deployment

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 provide clear technical communication to technical and non-technical stakeholders
• Present findings and recommendations to cross-functional teams, including senior leadership

What This Job Offers

• Career Level: Intern