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# Senior Machine Learning Engineer

- **Company:** Mariana Minerals
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Machine Learning, System Testing, Reinforcement Learning, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=43c0f40a957b6e1e

## About the Role

Do you have experience in System validation?, * 4+ years of post-school experience in machine learning engineering or a closely related role.

 * Strong grounding in machine learning fundamentals, with the ability to translate research ideas into novel production systems.
 * Experience with techno-economic modeling, process simulation, and/or quantitative analysis in complex systems.
 * Proven ability to develop, deploy, and operate ML models in production environments.
 * A self-starter mindset and comfort operating in high-ambiguity environments. You'll work directly with chemical engineers, metallurgists, process engineers, and geologists-experts who understand the physics deeply and will challenge assumptions.
 * Ability to work across the ML stack, from data pipelines to model inference and monitoring, or deep expertise in one area with a desire to grow across the stack.

## Description

* Partner closely with Mariana's process chemistry and engineering teams to develop novel, data-driven models of core chemical unit operations.
 * Train and deploy reinforcement learning models to control real-world mineral processing operations.
 * Use physically realistic simulators to pretrain RL control algorithms, and work with subject matter experts to diagnose gaps between simulated and real-world performance.
 * Build and maintain techno-economic models that integrate process simulation with capital costs, operating costs, and commodity price scenarios to inform investment and operational strategy.
 * Collaborate with internal teams on sensor and instrumentation strategy, incorporating inline measurement data to improve model performance.
 * Help design and evolve Mariana's data architecture, including pipelines for training, validation, deployment, and monitoring of production ML systems., * We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter-and the next facility faster and cheaper.
 * Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. The opportunity here isn't a feature gap-it's entire workflows and systems that don't exist yet.
 * Your work will directly shape how critical minerals are produced at scale in the coming decades.


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