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Riven Systems

AI-driven platform for critical minerals processing

Experimental Chemist - Founding Team

Physical SciencesPosted on Nov 10
Full-timeNew York, NY, USA$140k - $170k /yrIn-person

About the Job

Requirements

  • A Ph.D. in chemistry, chemical engineering, metallurgy, or a related field, or an M.S. with substantial industrial experience in hydrometallurgy or separations.
  • Hands-on hydrometallurgical experience at the bench scale.
  • Practical trace-metal analytical competence, ideally in inductively coupled plasma optical emission spectrometry (ICP-OES), including calibration design and method troubleshooting.
  • Careful, documented experimental practice and a desire to uphold rigorous technical standards.
  • Clear interdisciplinary communication and the curiosity to quickly learn and execute in new domains.
  • Ability to prioritize, execute, and collaborate with a high degree of agency.

Responsibilities

  • Design experiments, run and troubleshoot analytical tools, and generate and interpret data for the analytical chain.
  • Run, optimize, and expand the hardware capabilities of the autonomous laboratory.
  • Help establish an interface between experimental and computational capabilities, ensuring experimental constraints and richness are reflected by modeling.

Desired Qualifications

  • A desire to build the future of laboratory science.

About the Company

Riven Systems

AI-driven platform for critical minerals processing

Riven Systems builds an AI-powered platform for critical minerals processing that combines autonomous laboratories, computational modeling, and AI to design and de-risk processing chemistry for separating valuable elements from ores and tailings. The platform runs experiments in autonomous labs, uses computational models to simulate and optimize chemistry for specific feeds, and applies AI to select processes and scale them for production. It differentiates itself by offering an end-to-end system that blends hands-on experimentation, digital modeling, and partnerships with quantum computing and AI to tailor processes to each feedstock and reduce risk before deployment. Its goal is to accelerate reliable, scalable processing of critical minerals and enable efficient production through collaborations with industry and government programs.

Company size
1-10
Company stage
Seed
Total funding
$7.9M
Headquarters
New York City, United States
Founded
2025

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