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Machine Learning Petroleum Engineer Jobs in Riverside, CA

Machine Learning Engineer II

Irvine, CA · On-site

$97K - $162K/yr

Machine Learning Infrastructure & Engineering * Develop advanced feature engineering techniques. Build robust data pipelines for efficient model training and inference. * Develop advanced feature ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Senior Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused on next-generation health monitoring devices. The role involves designing and developing AI and ML ...

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$103K - $141K/yr

The AI/Machine Learning Engineer II will analyze data from various sources to develop computational models for disease diagnosis and prediction of critical events. Responsibilities : • Design and ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in MATLAB/Python/C/C++ and exposure to software ...

Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in MATLAB/Python/C/C++ and exposure to software ...

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Showing results 1-20

Machine Learning Petroleum Engineer information

See Riverside, CA salary details

$32.9K

$134.3K

$201.9K

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

As of Jul 30, 2026, the average yearly pay for machine learning petroleum engineer in Riverside, CA is $134,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,700.00 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 Riverside, CA? For Machine Learning Petroleum Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Petroleum Engineer jobs in Riverside, CA look for? The top searched job categories for Machine Learning Petroleum Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Machine Learning Petroleum Engineer jobs? Cities near Riverside, CA with the most Machine Learning Petroleum Engineer job openings:

Machine Learning Engineer II

Panasonic

Irvine, CA • On-site

$97K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Overview
Our new global headquarters is conveniently located in Irvine, CA near John Wayne Airport in the Park Place development. For our onsite and hybrid employees you will be able to enjoy amenities such as access to many restaurants and shops, running trails, a fitness deck, outdoor seating, dry cleaning, car wash, free garage parking, car charging stations, shuttle service for train commuters, outdoor games like bocce, horseshoes, gaming tables, pickle ball, and basketball. For more information on Park Place visit www.parkplaceirvine.com
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.
If you want to learn more about us visit us at www.panasonic.aero
And for a full listing of open job opportunities go to www.panasonic.aero/join-us/
The Avionics Way:
The Avionics Way captures the essence of what makes our employees special, and by extension, our organization. It's comprised of 5 core identifiers - Pioneers, Problem Solvers, Accountable, Collaborative, and Customer Focused - that together form a robust, working framework for our continued success. Beyond a philosophy, the Avionics Way is our guide to daily practices. It provides a clear, actionable model to help employees, at all levels, realize their ambitions through outsized contributions to their teams and the company. This model clearly defines expectations for performance at all levels of the organization, as well as establishes specific actions and modes of working that reinforce our philosophy on the path to achieving our goals.
Responsibilities
What you will be doing:
Algorithm Development & Implementation
  • Design, Develop and deploy machine learning models independently to
    optimize user experiences and enhance IFEC functionalities.
  • Develop machine learning frameworks, tools, and technologies using
    distributed computing, deep learning, or natural language processing.
  • Optimize models for performance, scalability, and interpretability.

Machine Learning Infrastructure & Engineering
  • Develop advanced feature engineering techniques. Build robust data pipelines
    for efficient model training and inference.
  • Develop advanced feature engineering techniques.
  • Build robust data pipelines for efficient model training and inference.
  • Deploy machine learning models into production environments.
  • Integrate models with existing systems and applications.
  • Monitor model performance and address issues as they arise.
  • Maintain and update models to ensure continued relevance and accuracy.

Collaboration & Documentation
  • Work collaboratively with data scientists, software engineers, and product
    managers to effectively communicating technical concepts and insights to drive
    project alignment and success.
  • Document methodologies, findings, and outcomes of experiment.

The salary range of $97,000 - $162,000 annually is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location.
Qualifications
What we're looking for:
  • Bachelor's degree in computer science, Data Science, Software Engineering, or a related field.
    Advanced degree preferred.
  • 2+ years of experience in software engineering, with a focus on data-driven applications, machine learning, or AI, preferably in the aerospace or tech industry
  • Proficiency in programming languages such as Python, Java, or similar, along with expertise in
    machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing technologies.
  • Ability to collaborate effectively across teams and drive projects to successful completion.
  • Proficient problem-solving abilities, critical thinking, and a passion for innovation and technology.

What We Offer:
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • Paid time off: Exempt Salaried employees receive flexible paid time off. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year. We also close our offices at the corporate level in the U.S. between Christmas and New Year. For operational positions that are expected to work on holidays, we provide additional compensation for hours worked.
  • Health Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1.
  • Washington residents only are eligible for: Washington's Family and Medical Leave program and Washington's Paid Sick Leave program.
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

All applicants are subject to Company policies, third party customer and worksite requirements, and government requirements, regarding vaccination and/or testing for COVID-19. Where permitted by applicable law, applicants may be required to be fully vaccinated with an authorized COVID-19 vaccine as a condition of employment, unless they are eligible for and obtain an exemption based on a reasonable accommodation because of a disability or a sincerely held religious belief, practice, or observance. While the Company strongly encourages COVID-19 vaccinations, it may require vaccination and/or testing for positions in which third party customer, worksite, or government requirements apply, in accordance with applicable law. At those locations where requirements apply, exemptions will be considered based on applicable law.
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporate.
REQ-155327