Mariana Minerals
Machine Learning Engineer
About this role
Mariana Minerals is seeking a Machine Learning Engineer to develop autonomous systems for their mineral refining operations. In this role, you'll work on improving machine learning models that optimize processes for lithium recovery and other critical minerals using advanced software and simulation techniques.
What you'll do
- Conduct reinforcement learning experiments in mineral processing simulations.
- Refine training environments and develop reward functions.
- Train control models and analyze their performance.
- Compare simulation results with real plant data.
- Write clean code for production model deployment.
- Collaborate with process and chemistry experts.
What they're looking for
- Machine learning fundamentals
- Reinforcement learning exposure
- Proficient in Python
- Scientific computing
- Curiosity about industrial systems
- Ability to debug codebases
- Strong problem-solving skills
- Self-starter attitude
Benefits
- Impact on real-world mining processes
- Opportunity to work with cutting-edge AI technology
- Direct involvement in critical minerals supply chain
- Vision for sustainable resource production
- Collaborative work environment
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Mariana Minerals
Mariana Minerals develops autonomous mining technology and critical minerals processing infrastructure, including software and hardware systems for self-operating vehicles and advanced refining facilities. The company is hiring Process Safety Engineers, Mechanical Engineers, Mechatronics Engineers (in both autonomy and hardware specializations), and Safety Specialists to build out their mining operations and safety programs.
View all jobs at Mariana MineralsLikely interview questions
- Walk us through a reinforcement learning project you've worked on—what was the environment, reward structure, and how did you debug when the agent underperformed?
- Describe your experience with physics simulators or scientific computing. How have you validated simulation accuracy against real-world data?