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Machine Learning Engineering Manager, Chemistry & Process Engineering

marianamineralsSan Francisco HQSoftware Development
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Salary
$176K – $212K
Job type
Full-time
Experience
Senior · 6+ yrs
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

Based at the San Francisco headquarters, the Machine Learning Engineering Manager role centers on leading a technical team that develops chemistry and process models for a minerals company. This position suits an experienced engineering leader with a background in scientific computing and physical systems who enjoys a hands-on player-coach environment.

Role Overview

Mariana Minerals seeks a Machine Learning Engineering Manager to oversee a group focused on chemistry and process engineering. Operating from the San Francisco HQ, this position combines people management with technical oversight of models that interface with chemical simulators and industrial plants. The individual in this role acts as a partner to the technical product manager to define roadmaps and build out the engineering organization.

Key Responsibilities

Manage and develop a team of machine learning engineers by handling hiring, onboarding, performance reviews, and mentorship.
Establish technical standards for model architectures, data strategy, validation methodologies, and operational lifecycles.
Collaborate with product management to scope projects, translate priorities, and establish realistic delivery timelines.
Coordinate directly with chemists, operators, and process engineers to align model outputs with plant requirements.
Oversee production monitoring, deployment, drift detection, and incident response procedures.

Requirements

Six or more years of experience in machine learning or scientific computing, including at least two years managing machine learning engineers or scientists.
Academic degree or equivalent practical depth in chemistry, chemical engineering, materials science, or a related discipline.
Professional history of deploying production machine learning models for physical, industrial, or scientific domains.
Proficiency in Python, modern machine learning frameworks, experiment tracking, and reproducible software practices.
Strong communication skills to interact effectively with cross-functional technical teams and business stakeholders.

Nice to Have

Doctoral degree in materials science, chemistry, or chemical engineering featuring a computational or machine learning focus.
Background in heavy industry, mining, hydrometallurgy, energy, or chemicals.
Familiarity with closed-loop optimization, real-time optimization, or model predictive control for industrial processes.
Experience scaling an engineering team from a small group into an established organization.

Skills and Tools

Python
Machine learning frameworks
Experiment tracking tools
Surrogate and hybrid physics-ML models
Bayesian optimization and time-series forecasting

Salary and Benefits

Compensation ranges from $176,000 to $212,000.
Equity offerings included.

About the Company

Mariana Minerals operates as a software-first, vertically integrated minerals company based in San Francisco. The organization focuses on supplying critical minerals for defense, AI, and modern energy technologies by integrating advanced software, data-driven automation, and industry expertise.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the job located?

This position is located at the San Francisco headquarters.

What is the salary and compensation range?

The salary ranges from $176K to $212K, and the position includes offers of equity.

How many years of experience are required?

Candidates must have 6 or more years of experience in machine learning or scientific computing, which includes at least 2 years of management experience.

Is this a purely managerial position?

No, this is a player-coach role that requires spending time on code and data alongside management responsibilities.

What background is needed in terms of education or domain knowledge?

A degree or equivalent depth in chemical engineering, chemistry, materials science, or a closely related field is required.

Ready to apply?

The application is on the official marianaminerals careers page.

Apply on company site