About the role
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