Machine Learning Engineer

Summary

Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.

Responsibilities

• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers
• Train control models, track and interpret their performance, and dig into why a model underperforms
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges
• Write clean, well-tested code and contribute to the services that put models into production
• Partner with process and chemistry experts to understand the unit operations you're modeling

Skills

• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus
• Proficiency in Python and comfort reading and debugging an existing codebase
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions
• A self-starter who asks good questions, ships, and escalates blockers early

Qualifications

Must Haves

• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus
• Proficiency in Python and comfort reading and debugging an existing codebase
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions
• A self-starter who asks good questions, ships, and escalates blockers early

Benefits

• Offers Equity