# Machine Learning Engineering Manager, Chemistry & Process Engineering at Mariana Minerals

- Company: Mariana Minerals
- What the company does: Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Backed by Khosla and a16z.
- Company website: https://marianaminerals.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco HQ
- Work setup: On-site
- Pay: $176K to $212K base salary per year (USD)
- Posted: 2026-09-23
- Apply by: 2026-11-07
- Apply: https://jobs.ashbyhq.com/marianaminerals/926ab762-e905-4b99-b4b2-e82ba42ee087
- Page: https://www.1752.vc/careers/jobs/mariana-minerals-machine-learning-engineering-manager-chemistry-and-process-engi/

## About the role

Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they learn from and run alongside chemistry and process simulators, and they increasingly inform, and set, how our plants and chemical processes operate.

## What they're looking for

- 6+ years in machine learning or scientific computing, including 2+ years managing ML engineers or scientists with direct responsibility for hiring, performance, and growth
- Degree or equivalent depth in chemical engineering, chemistry, materials science, or a closely related field — you can read a process flow diagram, reason about reaction kinetics and separations, and hold your own with process engineers
- Hands-on track record shipping ML models to production for physical, scientific, or industrial systems: surrogate models, hybrid physics-ML models, time-series forecasting, Bayesian optimization, or similar
- Strong engineering fundamentals: Python, modern ML frameworks, experiment tracking, and the discipline to make research code reproducible and maintainable
- Track record of setting technical direction for a team and delivering against commitments in an ambiguous, cross-functional environment
- Ability to evaluate work you didn't do — you can review a model, spot the flaw in a validation approach, and give feedback that makes the engineer better

Tags: Software Development