Mariana Minerals

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Staff Machine Learning Engineer at Mariana Minerals leads the autonomy roadmap for autonomous mineral refining. You will define and validate control models, set standards for simulators and modeling stack, and tackle hard non-stationary ML problems to optimize recovery, energy use, reagents, and uptime across multiple plants. This role blends industrial AI with hands-on engineering leadership to build an end-to-end autonomous platform.

Location: Ann Arbor

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the autonomy roadmap across multiple circuits and facilities—deciding which unit operations to automate next and where investment in simulation and modeling pays off.
•Define how control models are validated and certified safe to deploy on real refining equipment, including how the gap between simulation and reality is measured and closed.
•Set the standards for our simulators and our modeling stack, so the whole team builds controllers that are reproducible, safe, and grounded in real project economics.
•Personally solve the hardest modeling and control problems—non-stationarity, safety constraints, and multi-objective optimization across recovery, reagent use, energy, and uptime.
•Partner with leadership on major capital and operational decisions, translating techno-economic and process insight into strategy.
•Multiply the team through technical direction, design review, and mentoring of engineers at every level—and partner with our data engineering leaders to shape the data platform the autonomy roadmap requires. You own the modeling and the on-plant outcome; they own the backbone.

Pay and Benefits

Salary: USD 160,000 - 200,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in machine learning engineering (or an exceptional 6+ with demonstrated org-level technical leadership), including production ML or control systems that ran in the real world.
•A track record of setting technical direction for ML systems in physical, industrial, robotics, or control domains.
•Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps—plus the judgment to know when a simpler approach wins.
•Demonstrated ability to de-risk ambiguous, never-been-done problems: framing the objective, the success metric, and the path for others.
•Strong cross-functional influence with both technical leadership and domain experts—chemists, metallurgists, process engineers, and geologists.

Experience:8+ yearsIndustrial AIMining softwareAI in manufacturing

Skills:PythonReinforcement learningMachine learningSimulationControl systemsData engineeringSoftware developmentLeadershipCollaboration

Languages:English

Tech Stack:PythonReinforcement LearningSimulationML frameworksData platforms

Company Brief

Mariana Minerals

Software-first, vertically integrated minerals company developing extraction, processing, and automation systems to supply critical minerals (lithium and others) for energy, AI, and defense technologies, and building commercial-scale lithium facilities from produced water.

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor

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Mariana Minerals

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Ann Arbor

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the autonomy roadmap across multiple circuits and facilities—deciding which unit operations to automate next and where investment in simulation and modeling pays off.
•Define how control models are validated and certified safe to deploy on real refining equipment, including how the gap between simulation and reality is measured and closed.
•Set the standards for our simulators and our modeling stack, so the whole team builds controllers that are reproducible, safe, and grounded in real project economics.
•Personally solve the hardest modeling and control problems—non-stationarity, safety constraints, and multi-objective optimization across recovery, reagent use, energy, and uptime.
•Partner with leadership on major capital and operational decisions, translating techno-economic and process insight into strategy.
•Multiply the team through technical direction, design review, and mentoring of engineers at every level—and partner with our data engineering leaders to shape the data platform the autonomy roadmap requires. You own the modeling and the on-plant outcome; they own the backbone.

Pay and Benefits

Salary: USD 160,000 - 200,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in machine learning engineering (or an exceptional 6+ with demonstrated org-level technical leadership), including production ML or control systems that ran in the real world.
•A track record of setting technical direction for ML systems in physical, industrial, robotics, or control domains.
•Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps—plus the judgment to know when a simpler approach wins.
•Demonstrated ability to de-risk ambiguous, never-been-done problems: framing the objective, the success metric, and the path for others.
•Strong cross-functional influence with both technical leadership and domain experts—chemists, metallurgists, process engineers, and geologists.

Experience:8+ yearsIndustrial AIMining softwareAI in manufacturing

Skills:PythonReinforcement learningMachine learningSimulationControl systemsData engineeringSoftware developmentLeadershipCollaboration

Languages:English

Tech Stack:PythonReinforcement LearningSimulationML frameworksData platforms

Company Brief

Mariana Minerals

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor