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Machine Learning Petroleum Engineer Jobs in Raleigh, NC

Vulcan Elements

Applied Machine Learning Engineer

Durham, NC · On-site

$110K - $132K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

Vulcan Elements

Applied Machine Learning Engineer

Benson, NC · On-site

$93K - $111K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

Pwc

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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All JobsMachine Learning Petroleum Engineer JobsMachine Learning Petroleum Engineer Jobs in Raleigh, NC

Machine Learning Petroleum Engineer information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do machine learning petroleum engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning petroleum engineer in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a machine learning petroleum engineer?

A Machine Learning Petroleum Engineer is a specialist who combines expertise in petroleum engineering with machine learning and data science techniques. They use advanced algorithms and data analytics to optimize oil and gas exploration, drilling, production, and reservoir management. Their work helps improve decision-making, reduce operational costs, and increase efficiency by analyzing large datasets from various sources such as sensors, seismic data, and production logs. These professionals often work closely with geoscientists, data engineers, and other stakeholders in the energy sector.

What are the key skills and qualifications needed to thrive as a machine learning petroleum engineer?

To thrive as a Machine Learning Petroleum Engineer, you need a strong background in petroleum engineering, programming (such as Python or R), and applied machine learning, usually supported by a relevant engineering degree. Familiarity with data analysis platforms, machine learning frameworks (like TensorFlow or Scikit-learn), and petroleum industry software (such as Petrel or Eclipse) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for integrating technical insights with business goals. These competencies enable the effective application of data-driven solutions to optimize exploration, production, and operational efficiency in the energy sector.

How does a machine learning petroleum engineer typically collaborate with geoscientists and drilling teams to optimize oil and gas production?

A Machine Learning Petroleum Engineer works closely with geoscientists and drilling teams by integrating data-driven models into exploration and production workflows. They analyze geological, seismic, and operational data to develop predictive algorithms that identify optimal drilling locations, forecast reservoir performance, and improve recovery rates. Regular collaboration involves translating complex data insights into actionable recommendations that guide drilling strategies and inform real-time decisions, ensuring all teams are aligned to maximize efficiency and safety. This multidisciplinary approach fosters continuous learning and innovation across teams.

What is the difference between Machine Learning Petroleum Engineer vs Reservoir Engineer?

AspectMachine Learning Petroleum EngineerReservoir Engineer
Required CredentialsBachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learningBachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation
Work EnvironmentData analysis, modeling, software development in oil & gas companiesReservoir modeling, field development planning in oil & gas operations
Industry UsageApplying machine learning to optimize extraction, predict reservoir behaviorEstimating reservoir properties, managing production strategies

The Machine Learning Petroleum Engineer focuses on integrating data science and machine learning techniques to optimize oil extraction processes, while the Reservoir Engineer specializes in modeling and managing subsurface reservoirs to maximize recovery. Both roles are vital in the oil & gas industry but differ in their core skills and daily tasks.

What are popular job titles related to Machine Learning Petroleum Engineer jobs in Raleigh, NC?

For Machine Learning Petroleum Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Petroleum Engineer jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Petroleum Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Petroleum Engineer jobs?

Cities near Raleigh, NC with the most Machine Learning Petroleum Engineer job openings:

Machine Learning Petroleum Engineer jobs near you
Infographic showing various Machine Learning Petroleum Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% As Needed, 87% Full Time, 8% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $125,174 per year, or $60.2 per hour.

Senior Machine Learning Engineer - Ai/LLm/Raleigh, Nc

Motion Recruitment Partners, LLC

Raleigh, NC • On-site

$101K - $139K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Job Description
An enterprise data analytics company is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer, you'll be defining the architecture of scalable AI/ML and agentic workflows across the company's global product portfolio.
In this role you'll be focused on creating solutions for the legal industry and building a next-generation AI product, including LLM research assistants, retrieval systems, and enterprise-grade agentic workflows. You'll also help shape the long-term AI platform strategy and establish technical standards.
Required Skills & Experience
  • Skilled in AI/ML and agentic workflows
  • Skilled in LLM and RAG architecture
  • Experience with Vector Databases
  • Exposure to MLOps
  • Exposure to Python
  • Exposure to AWS and Kubernetes

Desired Skills & Experience
  • Experience working in the legal industry
  • 12+ years of development experience or 8+ years of development experience and a PhD
  • Degree in a relevant field

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Build and deploy advanced AI and machine learning models for legal research tools
  • Design and improve large-scale, distributed ML systems and enterprise platforms
  • Develop and integrate agent-based AI workflows and retrieval systems
  • Collaborate with engineering teams to ensure SI solutions are scalable and secure

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match -?if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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