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Machine Learning Petroleum Engineer Jobs in Springfield, MO

Packaging Operator

Springfield, MO ยท On-site

$15.50 - $18.75/hr

... and moving machinery. * Required to wear appropriate PPE including safety glasses, hearing ... Opportunities for learning and growth in manufacturing. * Competitive compensation and benefits ...

Packaging Operator

Springfield, MO ยท On-site

$15.50 - $18.75/hr

... and moving machinery. * Required to wear appropriate PPE including safety glasses, hearing ... Opportunities for learning and growth in manufacturing. * Competitive compensation and benefits ...

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Machine Learning Petroleum Engineer information

See Springfield, MO salary details

$28.7K

$117.1K

$176K

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

As of Jul 16, 2026, the average yearly pay for machine learning petroleum engineer in Springfield, MO is $117,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $141,000.00 per year, depending on experience, location, and employer.

Will AI take over petroleum engineering jobs?

AI can automate certain tasks in petroleum engineering, such as data analysis and reservoir modeling, but it is unlikely to fully replace engineers. Human expertise remains essential for decision-making, problem-solving, and overseeing complex operations. Petroleum engineers will need to adapt by developing skills in AI tools and data management.

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.

Do ML engineers get paid well?

Machine Learning engineers typically earn high salaries due to their specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but they are generally above average compared to other engineering roles.

What engineers make $500,000 a year?

Highly experienced senior engineers in specialized fields such as petroleum engineering, software engineering, or data science can earn $500,000 or more annually, especially with bonuses, stock options, or in leadership roles. Achieving this level typically requires advanced skills, extensive experience, and working in high-paying industries or companies.

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 engineers make $300,000 a year?

Senior petroleum engineers, especially those with extensive experience, specialized skills, and leadership roles, can earn $300,000 or more annually. Machine learning petroleum engineers working in the oil and gas industry with advanced expertise and in high-paying companies may also reach this salary level, often supplemented by bonuses and profit sharing.

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.
What are popular job titles related to Machine Learning Petroleum Engineer jobs in Springfield, MO? For Machine Learning Petroleum Engineer jobs in Springfield, MO, the most frequently searched job titles are:
What cities near Springfield, MO are hiring for Machine Learning Petroleum Engineer jobs? Cities near Springfield, MO with the most Machine Learning Petroleum Engineer job openings:

Packaging Operator

Infrapipes

Springfield, MO โ€ข On-site

$15.50 - $18.75/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 14 days ago


Job description

Position Summary

The Packaging Operator is responsible for maintaining the quality of the extruded (HDPE pipe) product throughout the manufacturing and packaging process.

Key Responsibilities

  • Operator monitors and checks product during manufacturing process to meets the order requirements.
  • Monitors print and footage markings. Makes corrections as needed.
  • Monitors for continuous stripe (if required).
  • Knows and understands the quality requirements for all products being produced.
  • Makes corrections as needed to meet order specifications and informs the line supervisor before making the necessary adjustments.
  • Uses reel components to build reels to size specifications.
  • Places the correct reel onto the coiler and prepare for startup. Reel must be in good physical condition.
  • Ensures wraps on reels are correct and neat.
  • Cuts conduit, ties-off and caps conduit when each reel is complete.
  • Removes reel from the coiler using a forklift and transports the finished product into inventory.
  • Grinds material scrap as it is produced and stacks scrap.
  • Assists the extrusion tech in line start-ups.
  • Maintains a neat and orderly work area.
  • Assists other packaging specialist in cutting conduit, tie-offs, and reel changes.
  • Follows all safety requirements for this position and all company safety guidelines.
  • Completes appropriate line operations paperwork to ensure accurate inventory transactions.
  • Performs other duties and responsibilities as assigned by supervisor.

Qualifications

  • High school Diploma or GED
  • 1-2 years of experience performing the essential functions listed above
  • Ability to perform simple math including the ability to add, subtract, multiply, divide and take measurements.
  • Ability to drive a forklift.
  • Must display very good organization and time management skills
  • Must have excellent communication and interpersonal skills with the ability to interact with many types of personalities
  • Must have sound judgment and discretional skills and be able to work with little supervision
  • Must be able to consistently work under pressure and simultaneously prioritize multiple projects
  • Must be able to speak, read, write and understand English
  • Must have a clean driving record and a valid, current driver's license and vehicle insurance

Required Competencies:

  • Communication Clearly conveys information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
  • Contributing to Team Success Actively participating as a member of a team to move the team toward the completion of goals.
  • Customer Focus Ensuring that the customer perspective is a driving force behind business decisions and activities; crafting and implementing service practices that meet customers' and own organization's needs.
  • Collaboration Working effectively and cooperatively with others; establishing and maintaining good working relationships.
  • Quality Orientation Accomplishing tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time
  • Safety Awareness Identifying and correcting conditions that affect employee safety; upholding safety standards.
  • Stress Tolerance Maintaining stable performance under pressure or opposition (such as time pressure or job ambiguity); handling stress in a manner that is acceptable to others and to the organization.

Physical Demands & Work Environment

  • Walk, sit, stand, climb, stoop, bend, kneel, crouch, crawl, talk, or hear.
  • Use hands for repetitive motions, equipment handling, and keyboarding.
  • Visual abilities include close vision, distance vision, peripheral vision, color distinction, and focus adjustment.
  • Occasionally lift up to 50 lbs. without assistance and up to 100 lbs. with assistance.
  • Work in moderate to high noise environments and varying indoor/outdoor conditions including heat, cold, humidity, dust, fumes, vibration, and moving machinery.
  • Required to wear appropriate PPE including safety glasses, hearing protection, gloves, reflective clothing, and safety boots.

We Offer

  • A safe, team-oriented work environment.
  • Opportunities for learning and growth in manufacturing.
  • Competitive compensation and benefits package.
  • Shift-based schedule with overtime opportunities.

Company Overview

Infra Pipes has over 60 years of experience specializing in the design, manufacture, and custom fabrication of engineered polyethylene systems for water, wastewater, and stormwater management applications. We provide full-service engineering support and custom solutions to meet project-specific requirements across North America.

Benefits

Infra Pipes offers a comprehensive benefits package, including health and dental coverage, retirement savings, paid time off, tuition and professional development assistance, and eligibility for incentive compensation.

Equal Opportunity Employer

Infra Pipes is an equal-opportunity employer. We consider all qualified applicants without regard to any characteristic protected by applicable federal, state, provincial, or local law.

Assistance

Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require an accommodation, please submit a request through the application system.

Right to Work

Applicants must be legally authorized to work in the country where the position is located. For U.S.-based roles, Infra Pipes participates in E-Verify to confirm employment eligibility.