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Geoscience Machine Learning Jobs (NOW HIRING)

GO-Energy Geosciences

Postdoctoral Scholar

Bodega Bay, CA · On-site

$69K - $107K/yr

... Geosciences Division. Talented and experienced PhD researchers are encouraged to apply for this competitive postdoctoral position utilizing universal potentials, machine learning interatomic ...

Terra AI

Head of Commercial

Redwood City, CA · On-site

$18K - $250K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Terra AI

Staff Geophysicist

Redwood City, CA · On-site

$185K - $250K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Terra AI

Staff Geophysicist

Redwood City, CA · On-site

$185K - $250K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Terra AI

Head of Commercial

Redwood City, CA · On-site

$18K - $250K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Terra AI

Business Development Manager

Redwood City, CA · On-site

$110K - $150K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Terra AI

Business Development Manager

Redwood City, CA · On-site

$110K - $150K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

The Jacobs Brand

GIS Developer

Houston, TX · On-site +1

Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing ... Machine learning, deep learning, neural networks * Mission science integration and operations

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site

Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing ... Machine learning, deep learning, neural networks * Mission science integration and operations

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site +1

Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing ... Machine learning, deep learning, neural networks * Mission science integration and operations

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All JobsGeoscience Machine Learning Jobs

Geoscience Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do geoscience machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for geoscience machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geoscience Machine Learning Specialist, and why are they important?

To thrive as a Geoscience Machine Learning Specialist, you need a solid background in geosciences, data analysis, and machine learning, often supported by an advanced degree in geology, geophysics, or computer science. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or Scikit-learn), and GIS or remote sensing tools is typically required. Strong problem-solving skills, collaboration, and effective communication are valuable soft skills for integrating data-driven insights with domain expertise. These competencies enable the development of accurate predictive models and innovative solutions to complex geoscientific challenges.

What is the difference between Geoscience Machine Learning vs Geoscientist?

AspectGeoscience Machine LearningGeoscientist
Required credentialsBackground in geoscience, programming, and data scienceDegree in geology, geophysics, or related field
Work environmentData analysis, modeling, and algorithm development in research or tech firmsFieldwork, laboratory, and research settings
Industry usageApplied in mineral exploration, seismic data interpretation, and environmental modelingConducts field surveys, sample analysis, and geological assessments

While both roles involve geoscience expertise, Geoscience Machine Learning focuses on applying data science and machine learning techniques to geoscientific problems, often in tech-driven environments. Geoscientists typically perform fieldwork and traditional research. The roles complement each other in modern geoscience projects.

What is geoscience machine learning?

Geoscience machine learning is the application of machine learning techniques to analyze and interpret data related to Earth sciences, such as geology, geophysics, meteorology, and environmental science. Professionals in this field use algorithms and statistical models to identify patterns, make predictions, and extract meaningful insights from complex geoscientific datasets. This helps improve understanding of natural phenomena, supports resource exploration, and enhances environmental monitoring. Geoscience machine learning is increasingly important as data volumes grow and traditional analysis methods become less effective for large datasets.

What are some common challenges faced by professionals working in Geoscience Machine Learning roles?

Professionals in Geoscience Machine Learning often encounter challenges such as dealing with sparse, noisy, or incomplete data, especially when integrating geological and geophysical datasets. They must also navigate the complexity of domain-specific knowledge, requiring collaboration with geologists and geophysicists to ensure model validity. Additionally, scaling machine learning models to handle large volumes of spatial or temporal data can be technically demanding. Effective communication and interdisciplinary teamwork are crucial for translating model outputs into actionable insights for exploration, environmental management, or hazard assessment.
Infographic showing various Geoscience Machine Learning job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Business Development Representative

Terra AI

Redwood City, CA • On-site

$80K - $110K/yr

Full-time

Posted 15 days ago

Job description

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and critical resource development.
As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain. Terra AI was founded to help solve this problem by redefining how critical resources are discovered, evaluated, and developed.
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency. The company's platform integrates geological, geophysical, and drilling data into intelligent systems designed to improve targeting accuracy, accelerate discovery timelines, and reduce exploration risk.
Backed by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector.
Terra AI's mission is to define the new global standard for data-driven critical resource development - breaking the cost and time curve required to support electrification, energy security, and the global energy transition.
The company operates with a strong partnership mentality, combining technical rigor, candid communication, continual learning, and environmental stewardship to help modern exploration teams solve some of the world's most important resource challenges.
The Opportunity
We are hiring our first Business Development Representative - a foundational and high-visibility hire within the Growth organization.
This is not a traditional sales role. It is a strategic, industry-facing role focused on helping Terra AI build meaningful relationships and commercial presence across the global mineral exploration ecosystem.
Role
  • Build Terra AI's network and reputation across the global mineral exploration community
  • Identify and engage high-quality exploration companies, operators, and stakeholders
  • Develop trusted relationships with geologists, technical leaders, executives, and investors
  • Represent Terra AI at industry conferences, technical forums, and field-facing events
  • Partner directly with the Head of Growth to structure and advance commercial relationships
  • Build and manage a high-quality pipeline of partnership opportunities

Required Qualifications
  • Exceptional interpersonal and communication skills
  • Able to build trust and communicate effectively across technical and commercial audiences
  • Ability to professionally represent Terra AI across industry interactions
  • Strong learning agility and comfort engaging with technical subject matter
  • Comfortable engaging with both technical and commercial stakeholders
  • Willingness to travel regularly for conferences, partner meetings, and industry events

We recognize that great business development talent can come from many different backgrounds. If you are excited about the opportunity and believe your experience aligns closely with the role, we encourage you to apply.
Compensation
$80,000 - $110,000 base salary + performance bonus + equity
In accordance with California law, the above range reflects the reasonably expected base salary for this role. Actual compensation will be determined based on experience, skills, qualifications, and market considerations.
Terra AI is an equal opportunity employer and is committed to building a diverse and inclusive team. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable law.

Apply