Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Backed by Khosla and a16z.
About the role
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they see and act in our plants through sensors and robotic systems, they run as agents inside the tools the business uses every day, and they run on an ML platform that has to serve all of it.
What they're looking for
- 6+ years in machine learning engineering, including 2+ years managing ML engineers with direct responsibility for hiring, performance, and growth
- Hands-on track record shipping ML systems to production in at least two of: computer vision / perception, robotics or embedded ML, LLM-powered or agentic applications, ML platform / MLOps infrastructure
- Strong software engineering fundamentals: you've built and operated production systems, you care about interfaces and reliability, and you can hold a design review with software engineers as a peer
- Working fluency with the current LLM/foundation-model landscape — what the models can do today, how to evaluate them, and where agentic approaches genuinely fit versus conventional software
- Track record of setting technical direction for a team and delivering against commitments in an ambiguous, cross-functional environment
- Ability to evaluate work you didn't do — you can review a model, a pipeline, or a system design and give feedback that makes the engineer better
More about this role
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they see and act in our plants through sensors and robotic systems, they run as agents inside the tools the business uses every day, and they run on an ML platform that has to serve all of it.
We're hiring a Machine Learning Engineering Manager to lead the MLEs working on everything outside the chemistry and process models: perception and vision, sensor and robotics initiatives, LLM-powered and agentic workflows, and the ML platform and MLOps infrastructure the whole applied AI/ML organization depends on. You'll manage the people, own the technical quality of what ships, and partner with both Technical Product Managers — ML & Robotics, and Data & Analytics Platform —...
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