Mariana Minerals
Mariana Minerals
Posted 3 months ago
Internship
San Francisco, California
In Person
Smart Summary
Responsibilities
The intern will build and experiment with machine learning models to solve real-world industrial problems. They will also support the development of data pipelines, feature engineering, and model evaluation while collaborating with domain experts.
Qualifications
Mariana Minerals is seeking a Machine Learning Engineering Intern with a strong foundation in machine learning, statistics, and Python. The ideal candidate is currently pursuing a degree in Computer Science, Machine Learning, or a related field and has hands-on experience with ML frameworks such as PyTorch or TensorFlow. Good communication skills and the ability to work independently are also important for this role.
Job Description
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.
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
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
At Mariana Minerals, you’ll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You’ll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Extreme Ownership – We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate – We simplify, optimize, and then automate for scale.
Share Your Legos – We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.
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