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Machine Learning Petroleum Engineer Jobs (NOW HIRING)

Kaplan, Inc.

Petroleum Engineer - Subject-Matter Expert

$35 - $50/hr

Job Title Petroleum Engineer - Subject-Matter Expert About Us Kaplan is one of the world's largest ... Writing learning objectives. * Advising on question topic distribution and difficulty. * Authoring ...

Rimkus

Forensic Petroleum Engineer

Dallas, TX · On-site

Join Rimkus and unlock your potential with endless opportunities for growth, learning, and making a ... Petroleum/Mechanical Engineering degree or higher. * P.E. required and the ability to obtain ...

Rimkus

Forensic Petroleum Engineer

Dallas, TX · On-site

Join Rimkus and unlock your potential with endless opportunities for growth, learning, and making a ... Petroleum/Mechanical Engineering degree or higher. * P.E. required and the ability to obtain ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Dark Wolf

Machine Learning Engineer

Herndon, VA · On-site

They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems. Responsibilities : • ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Position Summary We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Dark Wolf

Machine Learning Engineer

Chantilly, VA · On-site

They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve business problems. Responsibilities : • Design ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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All JobsMachine Learning Petroleum Engineer Jobs

Machine Learning Petroleum Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jun 4, 2026, the average yearly pay for machine learning petroleum engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

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 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 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.

More about Machine Learning Petroleum Engineer jobs
What cities are hiring for Machine Learning Petroleum Engineer jobs? Cities with the most Machine Learning Petroleum Engineer job openings:
What states have the most Machine Learning Petroleum Engineer jobs? States with the most job openings for Machine Learning Petroleum Engineer jobs include:
What job categories do people searching Machine Learning Petroleum Engineer jobs look for? The top searched job categories for Machine Learning Petroleum Engineer jobs are:
Machine Learning Petroleum Engineer jobs near you
Infographic showing various Machine Learning Petroleum Engineer job openings in the United States as of May 2026, with employment types broken down into 7% Internship, 89% Full Time, and 4% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Petroleum Engineer - Subject-Matter Expert

Petroleum Engineer - Subject-Matter Expert

Kaplan, Inc.

Remote

$35 - $50/hr

Part-time

Posted 21 days ago

Job description

Job Title
Petroleum Engineer - Subject-Matter Expert
Job Description
About Us
Kaplan is one of the world's largest and most diverse education providers. With 80+ years of history, Kaplan has been a beacon for expanding educational access and a leader in instructional innovation.
Role
We are seeking remote Subject Matter Experts who have recently passed the PE Petroleum exam to join Kaplan's engineering team in developing new practice exam content. This is a unique opportunity to directly impact the success of future engineers preparing for this specific exam. This is a remote contract (1099) opportunity with flexible hours (up to 20 per week).
Responsibilities
The responsibilities of the Contractor may include:
  • Writing learning objectives.
  • Advising on question topic distribution and difficulty.
  • Authoring exam-like practice questions and providing detailed solution explanations with references to the design standards and NCEES handbook where applicable.
  • Collaborating with our team to ensure the practice exams are comprehensive and effective for candidates preparing for the PE Petroleum exam.
  • Potentially contributing to suggested study plans and providing feedback on customer expectations for study and preparation for the PE Petroleum exam.
  • Performing quality assurance reviews and technical reviews of authored content.

Skill Requirements
The candidate must:
  • Have excellent command of the English language - both verbal and written.
  • Have recently taken and passed the computer-based testing (CBT) format of the PE Petroleum exam.
  • Possess an active PE Certification issued by NCEES in Petroleum Engineering.
  • Have exceptional attention to detail, organization skills, and time management skills.
  • Provide prompt and responsive communication, mostly by email. Occasional video chat meetings during business hours may be required.
  • Be highly motivated and take the initiative proactively in developing high-quality content.
  • Be receptive to feedback, meet deadlines, and take accountability for deliverables.

Preferred Skills
  • Have experience tutoring/mentoring/educating engineering students or colleagues, particularly in architectural engineering.
  • Have experience creating multiple-choice questions, study materials, PowerPoint presentations, or other similar content.

Hours & Employment
This is a contract (1099) position. Projects will be assigned via separate contracts with discrete schedules and deliverables related to the authoring of our new PE Petroleum practice exams. There is no set working schedule or hours other than project deadlines as assigned.
Equipment Required
Contractors must supply their own equipment and must have installed:
  • Microsoft Word
  • Adobe Reader or Professional
  • MathType

Pay is per project based on contractor availability, typically equivalent to $35-$50 per hour. The specific compensation offered will be determined by a variety of factors, including but not limited to the candidate's qualifications, relevant experience, education, skills, and market data.
Location
Remote/Nationwide, USA
Additional Locations
Employee Type
Contingent Worker
Job Functional Area
Other Admin Staff
Business Unit
Diversity & Inclusion Statement:
Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We are an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, veteran status, nationality, or sex. We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities. Learn more about our culture here.
Kaplan considers qualified applicants for employment even if applicants have an arrest or conviction in their background check records. Kaplan complies with related background check regulations, including but not limited to, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. There are various positions where certain convictions may disqualify applicants, such as those positions requiring interaction with minors, financial records, or other sensitive and/or confidential information.
Kaplan is a drug-free workplace and complies with applicable laws.

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