
Posted 1 month ago
Extractive Metallurgist
AI Summary
An Extractive Metallurgist designs, tests, and optimizes mineral processing flowsheets and trials for zinc or copper, collaborating across engineering, operations, and data teams to improve recovery, throughput, and scale-up.
About this role
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
We are seeking an Extractive Metallurgist to join our growing technical team in Moab, UT. This role will play a critical part in the development, optimization, and scale-up of mineral processing systems for Mariana’s global operations. The ideal candidate brings strong process engineering and metallurgical expertise, ideally in zinc or copper, and thrives in fast-paced, startup environments where independence, creativity, and problem solving are essential.
You’ll work closely with operations, engineers, machine learning experts, and data scientists to develop innovative solutions that improve efficiency, recovery, and throughput across our projects.
What You'll Do
Design, test, and optimize mineral processing flowsheets for new and existing projects.
Lead laboratory, pilot-scale, and plant trials for process validation and improvement.
Analyze metallurgical data to improve recovery, efficiency, and cost performance.
Collaborate with engineering teams on process design and scale-up.
Partner with data scientists and ML engineers to integrate advanced analytics and predictive models into process optimization.
Support commissioning and ramp-up of new facilities, with significant travel to sites.
Contribute to Mariana’s culture of continuous improvement, innovation, and safety.
What You'll Bring
Degree in Metallurgy, Chemical Engineering, or Process Engineering.
Hands-on mineral processing experience (zinc or copper preferred, broader base considered).
Proven ability to work independently in dynamic environments, with strong problem-solving skills.
Experience working in startup or entrepreneurial settings.
Desired Qualifications
Background in industrial technology or product development.
Experience collaborating with machine learning engineers or data scientists.
Exposure to digitized process monitoring and automation systems.
Our culture is built on three principles:
Extreme Ownership – We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate – We simplify, optimize, and then automate for scale.
Share Your Legos – We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.
Skills
Explore related jobs
More jobs at Mariana Minerals
Lab TechnicianMoab, UT
Machine Learning Engineering Manager, Chemistry & Process EngineeringSan Francisco HQ
Machine Learning Engineering Manager, Industrial Autonomy & Applied MLSan Francisco HQ
Technical Product Manager, ML & RoboticsSan Francisco HQ
Technical Product Manager, Data & Analytics PlatformSan Francisco HQ
Sr. Data ScientistSan Francisco HQ
Browse these categories
Market data for this role
All reports →- SeriesRole reportsOne role family at a time: how many openings, what changed this week, who is hiring, what it pays.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.