Geothermal AI Applications Engineer Intern

Fervo Energy

Houston (TX)

On-site

USD 33,000 - 45,000

Full time

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Job summary

Fervo Energy in Houston, TX is offering a graduate-level AI Applications Engineering Intern position. You'll work on a real project selected with your manager on day one, partnering with our AI and Strategy teams to apply cutting-edge AI to geothermal development.

This 12-week summer internship concludes with presenting results to executives and cross-functional teams, giving you visibility and hands-on experience at scale in a fast-growing energy company.

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 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.

Job description

Fervo Energy in Houston, TX is offering a graduate-level AI Applications Engineering Intern position. You'll work on a real project selected with your manager on day one, partnering with our AI and Strategy teams to apply cutting-edge AI to geothermal development.

This 12-week summer internship concludes with presenting results to executives and cross-functional teams, giving you visibility and hands-on experience at scale in a fast-growing energy company.

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