Machine Learning Engineer
Mariana Minerals3 months ago
Houston, TX, USA or San Francisco, CA, USAEntry Level / Mid Level
H1B sponsor
Base Salary
$120k - $160k/yr
Responsibilities
- Run reinforcement-learning experiments in physically realistic mineral-processing simulators and help convert results into improved controllers.
- Build and refine training environments, including reward functions, observations, and action logic.
- Train control models, track and interpret performance, and investigate model underperformance.
- Compare model behavior with real plant data to identify gaps between simulation and physical reality.
- Write clean, well-tested code and contribute to services that deploy models into production.
- Partner with process and chemistry experts to understand modeled unit operations.
Requirements
- 0–4 years of experience, including internships or research, in machine learning, reinforcement learning, or scientific computing, or strong recent graduates with demonstrated project depth.
- Solid grounding in machine-learning fundamentals and working knowledge of modern deep learning; reinforcement-learning exposure is a strong plus.
- Proficiency in Python and ability to read and debug an existing codebase.
- Interest in physical and industrial systems and willingness to learn chemistry and process engineering.
- Self-starter who asks questions, ships work, and escalates blockers early.
Benefits
- Mission-driven work directly shaping critical-mineral production and autonomous industrial operations.
- High ownership and autonomy in building software, data, and machine-learning systems for company-operated mines and refineries.
- Close collaboration with process and chemistry experts.
- Inclusive workplace and Equal Opportunity Employer.
Tech Stack
Categories
About Mariana Minerals
Mariana Minerals is a privately held, vertically integrated minerals company that mines and refines critical minerals and uses in‑house software, automation, and data systems to optimize operations. It supplies materials for modern energy, AI, and defense applications, combining chemical refining with plant‑level controls and optimization tools. The company is headquartered in San Francisco and targets OEMs and manufacturers across energy, battery, and defense supply chains.