Autonomous Industrial ML Engineer: Control & Simulation

Mariana Minerals; Ann Arbor (MI); On-site; USD 130,000 - 180,000; Full time

Job summary

Mariana Minerals in Ann Arbor, Michigan, is seeking a Staff Machine Learning Engineer to innovate the critical minerals supply chain. You will set the technical direction for refining processes, focusing on achieving fully autonomous operations.

This requires deep expertise in machine learning and control systems, alongside a track record of leading complex projects. Join us to shape the future of mineral sourcing with cutting-edge technology.

Qualifications

• 8+ years in machine learning engineering, including production ML or control systems.
• Track record of setting technical direction for ML in physical or industrial domains.
• Deep expertise in reinforcement learning and closing simulation-to-real gaps.
• Ability to de-risk ambiguous problems and frame success metrics.
• Strong influence with technical and domain experts.

Responsibilities

• Own the autonomy roadmap and decide which operations to automate next.
• Define how control models are validated and certified for deployment.
• Set standards for simulators and modeling stacks across operations.
• Solve complex modeling problems with constraints across recovery and efficiency.
• Partner with leadership on capital and operational decisions.

Skills

Machine learning engineering

Reinforcement learning

Control systems

Simulation and digital twins

Cross-functional influence

Job description

Mariana Minerals in Ann Arbor, Michigan, is seeking a Staff Machine Learning Engineer to innovate the critical minerals supply chain. You will set the technical direction for refining processes, focusing on achieving fully autonomous operations.

This requires deep expertise in machine learning and control systems, alongside a track record of leading complex projects. Join us to shape the future of mineral sourcing with cutting-edge technology.