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Machine Learning Engineer

Mariana Minerals· Software Development
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Ann Arbor, MI, Houston, TX, San Francisco HQ$120k - $180kFull-timePosted 4mo ago

About the role

Machine Learning Engineer to build and improve ML systems that control Mariana Minerals’ mineral refining facilities, transitioning from simulators to real-time plant deployment.

Responsibilities

  • Run reinforcement learning experiments in 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.

Qualifications

  • 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.

Skills

Required:Machine learning fundamentalsPythonProblem solving and collaboration
Nice to have:Reinforcement LearningSystems-understanding of physical/industrial processes
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Mariana Minerals

We to the Future of Minerals, verify the mineral supply chain.

Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies.

software-firstmineralsenergyAIdefense
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