Machine Learning Engineering Intern at Mariana… · San…

Summary: 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. They are hiring a Machine Learning Engineering Intern to work on real, high-impact problems within their applied ML and operations team, contributing directly to building and improving models that influence real-world industrial systems and decision-making. 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 Required Qualifications: - 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 Required Skills: Machine learning, Statistics, Data analysis, Python, PyTorch, TensorFlow