Staff Machine Learning Engineer

The role

You will set technical direction for applied ML across sites and build models from data to deployment. This includes reinforcement learning agents, time-series models, vision systems, soft sensors, and classifiers.

What you will do

• Decide where ML is worth it to improve recovery, uptime, or cost
• Perform time-series work including forecasting, anomaly detection, and predictive maintenance
• Apply computer vision on circuits, conveyors, and equipment
• Develop classification and diagnostics for faults, product quality, and process state
• Set the deployment bar for each model and run validation for the control room
• Write modeling standards, review designs, and mentor engineers
• Work with the autonomy and controls team and the data engineering team
• Train reinforcement learning agents in process simulators

Required qualifications

• 8 to 10+ years in ML engineering, or 6+ with clear org-level technical leadership
• Put models into production in the physical world and kept them running
• Shipped work in at least two of these areas: time-series, computer vision, reinforcement learning, and classical supervised learning
• Experience with industrial sensor data: historians, SCADA/DCS, OPC-UA, or similar
• Experience with scarce labels, drift, and rare events
• Ability to report how uncertain a prediction is
• Work well with roboticists, chemists, metallurgists, process engineers, and geologists

About the company

Mariana Minerals is a software-first, vertically integrated minerals company. They aim to supply critical minerals for energy, AI, and defense technologies by combining industry expertise with software and automation.