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Machine Learning Petroleum Engineer Jobs in Alaska

Automation Technician

Prudhoe Bay, AK

$47K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Know how to deploy machine learning algorithms and gain insights from them. * Project Management / Project Engineering * Manage Internal and External resources to optimize field work processes, field ...

Senior and Applied/Agentic AI Engineer

Minto, AK · On-site

$108K - $148K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

Staff Software Engineer - Search / AI

Homer, AK

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role combines deep hands-on engineering with strategic leadership to build intelligent ... Proficiency in machine learning, statistical analysis, predictive modeling, and mathematical ...

... learning, and working in a dynamic marine environment. Major Activities (Typical Duties ... Responsible for the Phoenix Avenue warehouse including petroleum storage, tool storage, and general ...

Desktop Support Engineer

Anchorage, AK · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Learning on the Fly - Learns quickly when faced with new problems and change. Experiments to find ... We operate six major business lines: government contracting, petroleum refining and marketing ...

Post Doctoral Fellow

Fairbanks, AK · On-site

$50K - $68K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... programming, data analysis, and computational methods. In addition to seismology, experience in machine learning, remote sensing, image analysis, geodesy, or the development of real-time monitoring ...

$46K - $59K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... machines, and tools. It demands initiative, a meticulous approach, and a comprehensive ... Conduct in-depth engineering work and diagnostics. * Work effectively both independently and within ...

Maintenance Worker/Technician

Anchorage, AK · On-site

$23/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general ...

Showing results 21-40

Machine Learning Petroleum Engineer information

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 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.

What are popular job titles related to Machine Learning Petroleum Engineer jobs in Alaska?

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

What job categories do people searching Machine Learning Petroleum Engineer jobs in Alaska look for?

The top searched job categories for Machine Learning Petroleum Engineer jobs in Alaska are:

What cities in Alaska are hiring for Machine Learning Petroleum Engineer jobs?

Cities in Alaska with the most Machine Learning Petroleum Engineer job openings:

Infographic showing various Machine Learning Petroleum Engineer job openings in Alaska as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$47K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Job Summary:
Assist with technical work in the administration, maintenance, and operation of SCADA and computerized distributed control systems with an emphasis on industrial data management and data engineering/analytics.
Essential Functions include, but are not limited to: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.)
  • Industrial Information Management
  • Experience with AVEVA OSIsoft PI and GE Proficy Historian
  • Experience with GE iFix SCADA Software
  • System configuration / Prod historian configuration
  • Asset Framework models configuration and maintenance
  • Data Engineering / Analytics
  • Creates data pipelines and data integrations in databases, data warehouses and data lakes working with various cloud and on-premises technologies
  • Skilled at data movement (PCN to DMZ/Cloud), consolidating and cleansing the data
  • Project Management / Project Engineering
    • Coordinate and participate in the design, development and administration of standards and documentation for all SCADA configuration databases, applications programming, and core SCADA functions. Enforce adherence to corporate SCADA standards
    • Solid understanding of desktop computers, printers, and general office applications
  • SCADA Engineering
  • Working knowledge of SCADA architecture design including control, measurement and safety systems for oil and gas production and pipeline facilities
  • Working knowledge of OT Cybersecurity
  • Industrial Information Management
    • AVEVA OSIsoft PI architecture design and PI Interface connector configuration
    • GE Proficy Historian architecture design and PI Interface connector configuration
    • GE iFix architecture and data configuration
    • System Upgrades, OS patching, user training
  • Data Engineering / Analytics
    • Able to use programming languages such as C#, Java, Python, R, Ruby, Scala and SQL to provide end-to-end data collection, intake and processing.
    • Able to use a cloud environment / architecture to structure and organize data for use in specific analytics applications.
    • Able to prepare data for machine learning platforms. Know how to deploy machine learning algorithms and gain insights from them.
  • Project Management / Project Engineering
    • Manage Internal and External resources to optimize field work processes, field process control and safety systems.
    • Work with field Technicians to troubleshoot and diagnose SCADA related problems.
    • Mentor and help train junior level staff through training and review of their work plans and system installs.
  • SCADA Engineering
    • OT Cybersecurity certification preferred
    • Conduct feasibility studies, conduct site surveys and develop recommendations and cost estimates for the installation of new SCADA systems or for the upgrade of existing systems.
    • Working knowledge of Process Safety
    • Keep abreast of new SCADA related developments and technology in areas such as equipment, software, governmental regulations, advanced business applications, alternate site business recovery and communications.
  • OT Network Engineering
    • Experience implementing networking solutions in industrial and automation environments
    • Experience with OT / Industrial networking solutions including routing and switching protocols
    • Set up and maintain computer and controller networks using Ethernet, Modbus, Profibus, Device Net, HART and Control Net
    • Experience with implementing and maintaining OT Network Monitoring and Anomaly Detection systems
  • Automation Engineering
    • Familiar, or ability to learn, to develop new and modify existing HMI, PLC, and DCS systems (AVEVA, GE iFix, Rockwell, GE/Emerson, Modicon, Honeywell Experion, ABB 800xA)
  • Troubleshoot and diagnose problems with Siemens, Rockwell and Danfoss Soft Starters and Variable Frequency Drives.
  • Troubleshooting Rockwell ControllLogix hardware and configuration.
Qualifications:
  • Five (5) or more years of SCADA or automation experience, preferably in the oil and gas industry, with a special emphasis in Data Engineering, Data Analytics, Industrial Databases, and programming.
  • Strong interpersonal skills to effectively communicate with individuals at all levels of the company.
  • Strong ability in diagnosing and solving SCADA problems with patience, professionalism, and courtesy.
  • Working knowledge and understanding of SCADA system setup and maintenance with regard to administration, programming, database administration, telemetry, and RTU input management understanding of the technology related to SCADA design and maintenance of a SCADA system.
  • Ability to establish priorities, meet deadlines, and concentrate on detailed information in a fast-paced and demanding work environment.
  • Good written and verbal communication skills, with specific ability to translate complex computer/information systems information into an organized and presentable manner.
  • Ability to complete multiple, diverse tasks of differing priorities.
  • Proficiency in the use and application of the following software: OSIsoft PI Historian
  • Proficiency in the use and application of the following software: GE Proficy Historian
  • Proficiency in the use and application of the following software: GE iFix
Education Requirements:
  • Preferred: Bachelor’s Degree from an accredited four-year university or college with a degree in engineering.
  • Considered: Computer Science or technical AA degree with 7+ years of relevant experience.
Office Location and Travel:
This position is located on the North Slope of Alaska at Milne Point, on a 2 weeks on/2 weeks off rotation. Travel from Anchorage to Prudhoe Bay is provided.
Benefits:
We offer a comprehensive benefits package including medical, prescription, dental, vision, life insurance, and disability plans effective during your employment. In addition, you will be eligible to participate in our 401(k) savings plan and accrue paid time off, among other benefits.
Working Environment amp; Conditions
This position is primarily indoors, consistent with a standard office position and has a noise level of mostly low to moderate.
Our Equal Opportunity Policy: EOE Minorities/Female/Protected Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352.