Geothermal AI Applications Engineer Intern

Stanford Climate Ventures; Houston, Northern (TX, KY); Hybrid; USD 39,000 - 61,000; Full time

Benefits offered by this job

Project ownership

Job summary

Fervo Energy is offering a graduate-level AI Applications Engineering Intern position focused on applying cutting-edge AI to geothermal development. You will work on subsurface forecasting, RAG systems for knowledge management, and decision-support with end-user teams across the Strategy Team.

We seek PhD candidates or graduate students in AI/ML-related fields who can train, validate, and deploy models, collaborate with cross-functional teams, and document methodologies for both technical and

Qualifications

• 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.

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.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

Research experience

Communication

Independent work

Education

Graduate student or PhD candidate in CS/Math/AI

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Fervo Energy is offering a graduate-level AI Applications Engineering Intern position focused on applying cutting-edge AI to geothermal development. You will work on subsurface forecasting, RAG systems for knowledge management, and decision-support with end-user teams across the Strategy Team.

We seek PhD candidates or graduate students in AI/ML-related fields who can train, validate, and deploy models, collaborate with cross-functional teams, and document methodologies for both technical and