Machine Learning Engineering Intern
Role summary
Mariana Minerals is seeking a Machine Learning Engineering Intern to contribute to real-world ML projects within their operations team. The intern will gain hands-on experience building and deploying ML solutions in production-like environments, working with Python, PyTorch/TensorFlow, and analyzing industrial datasets. Responsibilities include developing data pipelines, feature engineering, model evaluation, and collaborating with engineers and domain experts. This role requires strong ML fundamentals, Python proficiency, and the ability to execute independently on defined projects, culminating in a final presentation of work and learnings.
# About Mariana Minerals
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.
# The Role
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.
# What You’ll Do
- 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
# Qualification
- 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
# Why Join Us?
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.
# Our culture is built on three principles:
- 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.*
Compensation Range: $25 - $35
