Mariana Minerals

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Develop and deploy reinforcement learning-based control systems for Mariana Minerals’ autonomous mineral refining facilities. You’ll work from simulators to real plants, improving recovery, energy use, and uptime while collaborating with process and chemistry experts. You’ll write clean, production-ready code and contribute to training environments and production services.

Location: Ann Arbor, San Francisco, Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Run reinforcement learning experiments in physically realistic simulators of mineral processing operations and help turn the results into better controllers.
•Build and refine pieces of training environments—reward functions, observations, and action logic—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 and flagging where the physics diverges.
•Write clean, well-tested code and contribute to the services that put models into production.

Pay and Benefits

Salary: USD 120,000 - 160,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•0–4 years of experience in machine learning, reinforcement learning, or scientific computing, including internships or research; strong recent graduate with depth acceptable

Skills:Self-motivationCuriosityCommunicationProblem-solvingTeamwork

Tech Stack:PythonReinforcement learningSimulationMachine learning

Company Brief

Mariana Minerals

Software-first, vertically integrated minerals company developing extraction, processing, and automation systems to supply critical minerals (lithium and others) for energy, AI, and defense technologies, and building commercial-scale lithium facilities from produced water.

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor

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Mariana Minerals

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Ann Arbor, San Francisco, Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Run reinforcement learning experiments in physically realistic simulators of mineral processing operations and help turn the results into better controllers.
•Build and refine pieces of training environments—reward functions, observations, and action logic—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 and flagging where the physics diverges.
•Write clean, well-tested code and contribute to the services that put models into production.

Pay and Benefits

Salary: USD 120,000 - 160,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•0–4 years of experience in machine learning, reinforcement learning, or scientific computing, including internships or research; strong recent graduate with depth acceptable

Skills:Self-motivationCuriosityCommunicationProblem-solvingTeamwork

Tech Stack:PythonReinforcement learningSimulationMachine learning

Company Brief

Mariana Minerals

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor