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Machine Learning Petroleum Engineer Jobs in Riverside, CA

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

The MLOps Engineer will design and maintain infrastructure for machine learning systems, collaborating closely with engineering teams to ensure effective deployment and monitoring of ML models.

Lead AI Engineer

Irvine, CA

$110K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description The Lead AI Engineer will be responsible for defining and driving the AI strategy ... Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep ...

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

New

Senior Software Engineer, MLOps

Irvine, CA · On-site

$129K - $171K/yr

They are seeking a skilled Senior MLOps Engineer to design and maintain the infrastructure supporting machine learning systems in robotics applications, collaborating with various engineering teams ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Showing results 41-60

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 Aug 20, 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.

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 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:

Scientist, Staff (Machine Learning & Simulations)

ENCHANNEL MEDICAL LTD

Irvine, CA • On-site

$123K - $158K/yr

Full-time

Re-posted 29 days ago


Job description

Position Title: Scientist, Staff

Department: Algorithm

Reports to: Algorithm, Senior Manager

At Enchannel Medical, we’re redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes.

Position Overview

This Scientist, Staff (Machine Learning & Simulations), will be a key contributor to our algorithm team, working on innovating and developing new research and product features for our cardiac electrophysiology mapping system. They will be responsible for designing, developing, testing, and improving cardiac simulations used for treating cardiac arrhythmia and collaborating closely with a multidisciplinary team to support system integration and product feature advancements. They will have an opportunity to design and build end-to-end solutions.

Duties and Responsibilities

The following are the major responsibilities needed for the role. Additional responsibilities, tasks, and duties will be assigned and required as needed.

  • Develop biophysics-based simulations to predict optimal ablation sites.
  • Optimize the simulation compute resources using statistical, machine learning (ML), and optimization techniques to provide real-time feedback.
  • Analyze and interpret complex cardiac signals.
  • Develop innovative simulation solutions and collaborate with cross-functional teams to integrate simulation outcomes into the software stack.
  • Collaborate with the software engineering team to implement algorithms and ML solutions into computationally efficient, “real-time” operations.
  • Evaluation, adoption, and refinement of prototype algorithms developed by our engineers, scientists, and consultants.
  • Maintain, update, and document design requirements throughout the entire system life cycle.
  • May be required to actively contribute to regulatory filings, patent applications and other industry related publications.
  • Responsible for compliance with quality system procedures and all regulatory requirements.
  • Consistently promote collaboration, positivity, accountability, and resourcefulness.
  • Must demonstrate mutual respect, ongoing communication, and a positive outlook with both internal team members and customers.

Education, Experience and Skills Required

Below are the minimum skills, formal education, certifications or training, and practical experience required to perform the general functions and duties of the role.

  • 5+ years of related experience and a Bachelor’s and/or Master’s degree, and/or PhD in a scientific/engineering discipline; or equivalent combination of education and experience.
  • Must demonstrate expertise in cardiac electrophysiology, with a strong foundation in applying this knowledge to practical applications.
  • Hand-ON experience working with cardiac simulation tools.
  • Experience with the use of ML in cardiac anatomy and electrophysiology, ECG, unipolar/bipolar electrogram.
  • Strong programming skills in languages such as Python, C++, and MATLAB.
  • Experience with ML libraries such as OpenCV, TensorFlow, and PyTorch.
  • Broad understanding of machine learning, deep learning, and statistical techniques.
  • Strong problem-solving abilities, with the capacity to develop innovative solutions for complex technical challenges.
  • Excellent collaboration skills to work effectively across multidisciplinary teams, including hardware, software, quality, and regulatory groups.
  • Time management and organizational skills to prioritize workload efficiently in a fast-paced startup environment.
  • Exceptional verbal and written communication skills, including the ability to explain highly technical concepts to non-technical audiences.
  • A results-driven mindset, with the ability to adapt quickly to changing project requirements and deliverables.
  • Must be able to understand job duties and responsibilities, have the necessary skills/knowledge and be willing and able to continue learning and growing within the field.
  • Must be skilled at managing a significant workload and obtaining positive results, taking on additional responsibility and managing priorities as needed.
  • Must be accurate, detailed, committed to high quality standards and pro-active in finding solutions to achieve successful outcomes.
  • Strong verbal and written communication skills with the ability to produce accurate, punctual reports/information, as required and thoroughly share information with others. Must be able to read, write and speak effectively.
  • Exceptional listening skills with the ability to seek constructive feedback, build relationships, promote teamwork, and remain flexible and open-minded. Able to quickly adapt to change.
  • Capable of following realistic plans, goal setting, resource management, contingency planning, coordinating, and cooperating with others.
  • Capable of working thoughtfully under pressure and in a timely manner.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training.

EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law.

Only qualified candidates will be contacted.