AI Applications Engineer Intern: Real-World Geothermal AI

Fervo; Georgia; On-site; USD 34,000 - 48,000; Part time

Job summary

Fervo Energy is offering a graduate-level AI Applications Engineering Intern position. You will own a real project from day one, working with the geothermal team to apply cutting-edge AI to subsurface forecasting, data infrastructure, and knowledge management.

Over 12 weeks, you’ll collaborate with end-user teams, document methodologies, and present results to executives and peers. PhD candidates are strongly preferred, and this internship provides a hands-on path into renewable energy

Qualifications

• Graduate student or PhD candidate in CS, math, or related quantitative field with AI/ML focus.
• Strong Python skills and experience with PyTorch, TensorFlow, or Scikit-learn.
• Experience with research in LLMs, time-series, physics-informed ML, optimization, or RL.

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 centralized AI infrastructure and data architecture.
• Document methodologies and communicate clearly to technical and non-technical stakeholders.
• Present findings and recommendations to cross-functional teams and leadership.

Skills

Python

ML frameworks

Data analysis

Communication

Collaboration

Self-starter

Education

Graduate student or PhD candidate in AI/ML or related field

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Fervo Energy is offering a graduate-level AI Applications Engineering Intern position. You will own a real project from day one, working with the geothermal team to apply cutting-edge AI to subsurface forecasting, data infrastructure, and knowledge management.

Over 12 weeks, you’ll collaborate with end-user teams, document methodologies, and present results to executives and peers. PhD candidates are strongly preferred, and this internship provides a hands-on path into renewable energy