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Geoscience Machine Learning Jobs (NOW HIRING)

Ascent Resources

Senior Geologist

Oklahoma City, OK · On-site

Knowledge of data analytics and machine learning applications in geology Education & Work Experience Required Minimum Requirements: * Bachelor's or master's degree in Geology or Geosciences * 10+ ...

Onesubsea

Scientific Computing Researcher

Cambridge, MA · On-site

$105K - $213K/yr

Experience with machine learning and artificial intelligence methods; exposure to agentic AI ... Experience working with geoscience, energy, or subsurface-related applications. * Track record of ...

SLB

Scientific Computing Researcher

Cambridge, MA · On-site

$105K - $213K/yr

Experience with machine learning and artificial intelligence methods; exposure to agentic AI ... Experience working with geoscience, energy, or subsurface-related applications. Track record of ...

Terra AI

Senior Geologist

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

Senior Geologist

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 ...

Fgcu

Postdoctoral Researcher

Campus, IL

... machine learning analyses. Field activities will primarily occur in Immokalee, Florida. Applicants should have a strong background in Civil Engineering, Environmental Engineering, Geoscience ...

Chevron

2026-2027 Earth Science Intern

Houston, TX · On-site

$10K/mo

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at Chevron? * You work on real projects, not side tasks * You use modern tools and cloud platforms * You ...

ExxonMobil

2026USH Geology Specialist

Spring, TX · On-site

The role requires a strong combination of geoscience expertise, reservoir modeling experience ... Research, evaluate, and apply emerging technologies including machine learning, artificial ...

ExxonMobil

2026USH Geology Specialist

Spring, TX · On-site

The role requires a strong combination of geoscience expertise, reservoir modeling experience ... Research, evaluate, and apply emerging technologies including machine learning, artificial ...

Exxon Mobil

2026USH Geology Specialist

Spring, TX · On-site

The role requires a strong combination of geoscience expertise, reservoir modeling experience ... Research, evaluate, and apply emerging technologies including machine learning, artificial ...

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Geoscience Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do geoscience machine learning jobs pay per year?

As of Sep 15, 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 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 the key skills and qualifications needed to thrive as a geoscience machine learning specialist?

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 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.

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 other helpful pages are available for Geoscience Machine Learning?

Other pages related to Geoscience Machine Learning:

Infographic showing various Geoscience Machine Learning job openings in the United States as of September 2026, with employment types broken down into 11% Internship, 56% Full Time, 11% Part Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior Geologist

Oklahoma City, OK • On-site

Ascent Resources
Oil and Gas Extraction • 51 - 200 employees
Learn more about Ascent Resourcesexternal

Other

Retirement, PTO

Posted 13 days ago

Job description

Ascent Resources is seeking an experienced Senior Geologist. This position is located in Oklahoma City, Oklahoma and will report to the Manager - Geoscience.

This position will be responsible for the interpretation and analysis of various kinds of geological data and make recommendations to management, based on that analysis.

Primary Duties & Responsibilities
  • Correlate formations from well logs and create cross-sections
  • Construct reservoir property maps from well data
  • Overall geological analysis and prospectivity of properties
  • Provide technical support and recommendations for drilling, completion, and production operations
  • Collaborate with multiple disciplines to integrate geological analysis into projects
  • Prepare technical reports and presentations to management and stakeholders
  • Other duties assigned as needed
Knowledge, Skills & Abilities Minimum Requirements:
  • Comprehensive understanding of geological principles associated with petroleum exploration
  • Considerable experience with unconventional petroleum exploration
  • Extensive experience and expertise with geological interpretation software
  • Firm understanding of petrophysical principles and analysis associated with wireline logs and cores
  • Understanding of drilling and production operations
  • Ability to work effectively in a team environment and independently when required
  • Must be able to present highly technical information in a concise and clear manner to upper management
  • Experience incorporating seismic data into a geological interpretation
Preferred:
  • GeoGraphix software experience
  • Kingdom software experience
  • Experience with geosteering and well planning logistics
  • Proficiency in Spotfire or Power BI
  • Field operations geology: mudlogging or wireline
  • Knowledge of data analytics and machine learning applications in geology
Education & Work Experience Required Minimum Requirements:
  • Bachelor's or master’s degree in Geology or Geosciences
  • 10+ years of experience in geological evaluations within the oil and gas industry
  • Strong working knowledge of MS Office, including Excel, PowerPoint, and Outlook
  • Experience with unconventional reservoir evaluation and development
Preferred:
  • Knowledge of data analytics and machine learning applications in Geology
  • Proficient in the application of GIS software technology and geostatistics in petroleum geoscience
Ascent Benefits
  • Benefits start day one
  • Generous 401(k)
  • PTO based on industry or job-related experience
  • Tuition assistance after 1 year
  • Twelve paid holidays
  • Many volunteer opportunities
  • On-site gym and yoga studio

Ascent Resources provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Ascent complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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