Mariana Minerals
Minerals
StaffMachineLearningEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Machine Learning Engineer at Mariana Minerals. Skills: Machine Learning Engineering, Reinforcement Learning, Control Systems. Own autonomy roadmap. Define model validation”
What You'll Achieve.
Optimize recovery rates; Optimize energy consumption; Optimize reagent usage; Optimize uptime
Industry & Context.
Non-stationarity; Safety constraints; Multi-objective optimization; Closing sim-to-real gaps; De-risk ambiguous problems
What They're Looking For.
Must Have
8+ years machine learning engineering, 6+ years with demonstrated org-level technical leadership, Production ML or control systems experience, Track record setting technical direction, Deep expertise in reinforcement learning, Deep expertise in simulation, Deep expertise in digital twins, Deep expertise closing sim-to-real gaps, Demonstrated ability to de-risk problems, Cross-functional influence, Staff engineers still ship
Nice to Have
Exceptional 6+ years experience
What You'll Do.
Define model validation
Define model certification
Set standards for simulators
Set standards for modeling stack
Solve modeling problems
Solve control problems
Partner with leadership
Translate insight into strategy
Multiply team through direction
Multiply team through review
Multiply team through mentoring
How You'll Work.
Team & Collaboration
Cross-functional influence; Partner with leadership; Partner with data engineering
Process & Methodology
Roadmap planning
Full Job Description
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 Mariana Minerals is building the critical minerals supply chain from the ground up—and we're looking for a Staff Machine Learning Engineer to help make it autonomous. We're not a software company selling tools to mining operators. We are a mining company that builds software. Mariana designs, builds, commissions, and operates our own mines and refineries. We develop proprietary chemical processes and run them at lab, pilot, and commercial scale. Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities. Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027. As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make refining autonomous. You'll define how control models are built, validated, and trusted on live equipment across our circuits and facilities—and you'll personally take on the hardest modeling problems standing between us and fully autonomous operations. Your decisions will show up in real recovery rates, energy consumption, reagent usage, and uptime across every plant we run. THE TECH This is some of the most interesting applied AI work happening today. Our internal platform, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots—but applied to autonomous, short-interval control of mineral refining circuits. Models adjust operating set points and configurations in real time, optimizing across lithium recovery, reagent consumption, energy intensity, and equipment uptime simultaneously. The environment is noisy and
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