Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Backed by Khosla and a16z.
About the role
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they learn from and run alongside chemistry and process simulators, and they increasingly inform, and set, how our plants and chemical processes operate.
What they're looking for
- 6+ years in machine learning or scientific computing, including 2+ years managing ML engineers or scientists with direct responsibility for hiring, performance, and growth
- Degree or equivalent depth in chemical engineering, chemistry, materials science, or a closely related field — you can read a process flow diagram, reason about reaction kinetics and separations, and hold your own with process engineers
- Hands-on track record shipping ML models to production for physical, scientific, or industrial systems: surrogate models, hybrid physics-ML models, time-series forecasting, Bayesian optimization, or similar
- Strong engineering fundamentals: Python, modern ML frameworks, experiment tracking, and the discipline to make research code reproducible and maintainable
- Track record of setting technical direction for a team and delivering against commitments in an ambiguous, cross-functional environment
- Ability to evaluate work you didn't do — you can review a model, spot the flaw in a validation approach, and give feedback that makes the engineer better
More about this role
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.
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they learn from and run alongside chemistry and process simulators, and they increasingly inform, and set, how our plants and chemical processes operate.
We're hiring a Machine Learning Engineering Manager to lead the team of MLEs building models for chemistry and process engineering: surrogate and hybrid models of unit operations, models that learn from plant and lab data, and the optimization and control layers that turn those models into operating decisions. You'll manage the people, own the technical quality of what ships, and partner with the Technical Product Manager for ML & Robotics on what gets built and why.
This is a player-coach role. Today this work is...
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