Inactive
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Mariana Minerals

Software-driven mineral exploration and supply

Machine Learning Engineering Intern

Applied Machine LearningPosted on Apr 14
Internship · Summer 2026No salary listedIn-person

About the Job

Requirements

  • Currently pursuing a degree in Computer Science, Machine Learning, Data Science, Chemical Engineering, or related field
  • Strong fundamentals in machine learning, statistics, and/or data analysis
  • Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, etc.)
  • Hands-on experience through projects, coursework, or internships
  • Ability to break down problems and execute independently
  • Clear communication skills and willingness to learn in a fast-paced environment

Responsibilities

  • Work on a defined ML project with clear deliverables by the end of the internship
  • Build and experiment with models using Python, PyTorch/TensorFlow, or similar tools
  • Analyze real-world datasets to identify patterns, anomalies, and optimization opportunities
  • Support development of data pipelines, feature engineering, and model evaluation
  • Collaborate with engineers and domain experts to understand system behavior and constraints
  • Run experiments, validate results, and iterate based on findings
  • Document your work and present outcomes and learnings at the end of the internship

About the Company

Mariana Minerals

Software-driven mineral exploration and supply

Mariana Minerals is a software-first minerals company focused on identifying, acquiring, exploring, and supplying critical minerals needed for energy, AI, and defense. It uses a proprietary software platform to pinpoint mineral assets with strong potential, then buys mineral rights, develops the resources, and sells them to customers in energy, AI infrastructure, and defense. The company is vertically integrated, handling everything from asset acquisition to development and supply, which sets it apart from traditional mines that don’t leverage digital tools or own the full value chain. Its main goal is to rebuild and secure the United States’ domestic supply chain for these strategic resources, addressing national security and vulnerability in global mineral markets.

Company size
201-500
Company stage
Series B
Total funding
$395M
Headquarters
San Francisco, CA
Founded
2024

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