Fervo Energy

AI Applications Engineering Intern

Fervo Energy

internship

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Entry Level

Tech Stack

JavaScriptPythonPyTorchSaltStackScikit-LearnTensorflow

About the role

  • 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
  • Report to Fervo’s Strategy Team and serve as internal consultant to partner with end-user departments
  • Work on projects such as subsurface forecasting, real-time drilling optimization, RAG systems, predictive maintenance, and power price forecasting

Requirements

  • PhD candidate in Computer Science, Applied Mathematics, or 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
  • Preferred: Experience with energy systems, industrial operations, or geoscience applications
  • Preferred: Prior experience with RAG architectures, data engineering, or scalable model deployment