About the job
About Mariana Minerals
At Mariana Minerals, we are a pioneering software-driven, vertically integrated minerals company, dedicated to delivering the essential minerals that empower modern energy solutions, artificial intelligence, and defense technologies. Our innovative approach redefines the minerals supply chain by merging extensive industry knowledge with cutting-edge software, automation, and data-informed decision-making.
Our organizational culture is anchored in three core principles:
Extreme Ownership – We embrace complete accountability for our results, consistently striving for effective solutions.
Engineer Out Requirements, then Automate – We focus on simplifying, optimizing, and automating processes for scalability.
Share Your Legos – We believe in open collaboration, sharing insights, and empowering each other to create superior solutions.
Join us in shaping the future of sustainable mineral sourcing and supply.
The Role
We are seeking an Operations Research Engineer to architect and execute state-of-the-art prediction, planning, and optimization frameworks that enhance Mariana’s autonomous operations and extensive logistics network. You will convert intricate, unpredictable operational challenges into structured ML and optimization tasks, developing systems that advance routing, dispatch, scheduling, resource allocation, and real-time decision-making throughout our operations.
What You’ll Do
Create ML and optimization-driven prediction and planning algorithms tailored for dynamic and uncertain operational landscapes.
Translate broad operational issues into structured optimization or ML challenges.
Design, train, and assess deep learning models for prediction, planning, and decision-making.
Utilize advanced methodologies such as reinforcement learning, stochastic optimization, robust optimization, combinatorial optimization, and integer/mixed-integer programming.
Build scalable systems for routing, fleet optimization, dispatch algorithms, multi-agent planning, and scheduling.