Machine Learning Engineering Intern

Mariana Minerals • San Francisco, CA

1d

About The Position

Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
We are hiring a Machine Learning Engineering Intern to work on real, high-impact problems within our applied ML and operations team. You will contribute directly to building and improving models that influence real-world industrial systems and decision-making.
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to understand complex systems and apply ML techniques to improve performance, efficiency, and reliability.

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

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed