# Machine Learning Engineer

**Company:** [Mariana Minerals](https://hotfix.jobs/companies/mariana-minerals)
**Location:** Ann Arbor, MI, San Francisco, CA, Houston, TX
**Role:** ML Engineering
**Salary:** $120k – $160k/yr
**Experience:** 0+ years
**Skills:** Python, Machine Learning, Deep Learning, Reinforcement Learning, Scientific Computing
**Posted:** 2026-06-10

> Build and deploy reinforcement learning models to autonomously control mineral refining facilities, optimizing recovery rates, energy use, and uptime in real operating plants.

## Job Description

## Responsibilities
- Run reinforcement learning experiments in physically realistic simulators of mineral processing operations and help turn results into better controllers
- Build and refine pieces of training environments—reward functions, observations, and action logic
- Train control models, track and interpret performance, and investigate underperformance
- Close the gap between simulation and reality by comparing model behavior against real plant data
- Write clean, well-tested code and contribute to services that put models into production
- Partner with process and chemistry experts to understand unit operations

## Requirements
- 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth
- Solid grounding in machine learning fundamentals with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus
- Proficiency in Python and comfort reading and debugging an existing codebase
- Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering
- Self-starter who asks good questions, ships, and escalates blockers early

## Nice-to-Haves
- Experience with reinforcement learning toolkits used in self-driving vehicles or humanoid robots
- Background in scientific computing or physical systems modeling

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