Machine Learning Engineer
Mariana MineralsCritical Minerals company
Ann Arbor, United StatesMid
Andreessen Horowitz
Breakthrough Energy Ventures
Khosla Ventures
Earthshot Ventures
Pax VC
Data & AI
About the role
TL;DR
Help build and improve machine learning systems for mineral refining facilities.
- •Mariana Minerals is building the critical minerals supply chain from the ground up and is looking for Machine Learning Engineers to help make it autonomous.
- •Key Responsibilities Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations.
- •Build and refine pieces of our training environments with guidance from senior engineers.
- •Train control models, track and interpret their performance, and dig into why a model underperforms.
- •Help close the gap between simulation and reality by comparing model behavior against real plant data.
- •Write clean, well-tested code and contribute to the services that put models into production.
- •Requirements 0-4 years of experience in machine learning, reinforcement learning, or scientific computing.
- •Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning.
- •Proficiency in Python and comfort reading and debugging an existing codebase.
- •Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering.
- •A self-starter who asks good questions, ships, and escalates blockers early.
Required skills
Python
Domain expertise
crypto
Tech stack
Python