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Mariana Minerals is looking to solve complex operational challenges in mineral sourcing and supply by designing and implementing next-generation prediction, planning, and optimization systems

Requirements

• Proficiency in Python and C++ with strong analytical and debugging capabilities
• Expertise in one or more of the following areas: stochastic optimization, stochastic programming, chance constraints, uncertainty modeling
• Reinforcement learning, planning under partial observability, Bayesian decision-making
• Routing, scheduling algorithms, VRP, dynamic routing, fleet optimization, dispatch optimization
• Multi-agent systems, queueing systems, traffic-aware routing, service network modeling
• Experience deploying ML or optimization systems in production environments

Responsibilities

• Develop ML- and optimization-driven prediction and planning algorithms for dynamic, uncertain operational environments
• Formulate open-ended operational problems into structured optimization or ML tasks
• Build, train, and evaluate deep learning models used for prediction, planning, and decision-making
• Apply advanced techniques including reinforcement learning, stochastic optimization, robust optimization, combinatorial optimization, and integer/mixed-integer programming
• Develop scalable systems for routing, fleet optimization, dispatch algorithms, multi-agent planning, and scheduling
• Integrate prediction and planning models into production software systems used for real-time operations
• Debug complex behaviors, analyze model performance, and drive continual improvements in autonomy and optimization pipelines

Other

• BS in Computer Science, Mathematics, Machine Learning, Robotics, Optimization, Operations Research, or a related field
• 3+ years of experience in ML modeling, optimization, robotics, or autonomous planning systems
• Collaborate across autonomy, software, and operations teams to ensure solutions meet safety, efficiency, and reliability requirements
• Mariana is an Equal Opportunity Employer
• We celebrate diversity and are committed to creating an inclusive environment for all employees