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Machine Learning Petroleum Engineer Jobs in Orem, UT

Senior Engineer - Machine Learning

Midvale, UT ยท Hybrid

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

Senior Engineer - Machine Learning

Midvale, UT ยท On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

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 ...

Senior Machine Learning Engineer

Sandy, UT ยท Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Senior Machine Learning Engineer

Sandy, UT ยท On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

Machine Learning Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Provo, UT ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Platform Engineer Machine Learning (Utah)

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive ...

Senior AI/ML Engineer

Draper, UT ยท On-site

$100 - $130/hr

  • Medical

  • PTO

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication ...

AI Infrastructure Engineer IV

Lehi, UT ยท On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

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Machine Learning Petroleum Engineer information

See Orem, UT salary details

$27.4K

$111.9K

$168.2K

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

As of Aug 14, 2026, the average yearly pay for machine learning petroleum engineer in Orem, UT is $111,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,800.00 per year, depending on experience, location, and employer.

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 Orem, UT?

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

What job categories do people searching Machine Learning Petroleum Engineer jobs in Orem, UT look for?

The top searched job categories for Machine Learning Petroleum Engineer jobs in Orem, UT are:

Senior Engineer - Machine Learning

Berkadia

Midvale, UT โ€ข Hybrid

$98K - $135K/yr

Full-time

Posted 4 days ago


Job description

Are you looking for an opportunity to bring your unique skills and experiences to a leading commercial loan servicer?

As aย Senior Engineer,ย Machine Learningย at Berkadia,ย you'llย be at the forefront of applyingย cutting-edgeย machine learning and generative AI to redefine how the commercial real estate industryย operates. Berkadia now has a dedicated machine learning team and an established generative AI system -ย Berkieย - which is transforming the wayย Berkadiansย work. In this role, you will contribute directly to expanding and improvingย Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue.ย 

You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systemsย -ย ranging from predictive modeling and traditional machine learning pipelines to agentic systems, intelligent document processing, and generative AI applications. This is a high-impact position for someone passionate about applying AI to real-world problems, who thrives in a collaborative environment and stays ahead in a fast-moving field.ย 

Join Berkadia's loan servicing platform and learn from the best of the best at the largest U.S. non-bank commercial mortgage servicer in the industry. We provide the personal and professional development opportunities you need to impact the commercial real estate industry, build a career that takes the long view, and reach your full potential.ย Be Your Best Self. Be Berkadia.

We are committed to growing your career, so in this role you will:

Responsibilities:

  • Design, implement, andย maintainย production-ready machine learning systems using both generative and traditional techniques.ย 
  • Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval.ย 
  • Drive the continued development ofย Berkie, Berkadia's generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business.ย 
  • Collaborate with cross-functional teams - including product, engineering, and data - toย identifyย impactful problems and translate them into scalable AI solutions.ย 
  • Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration.ย 
  • Establish and contribute to best practices inย MLOps, including model deployment, monitoring, observability, and continuous improvement.ย 
  • Participate in peer reviews, design discussions, and team learning sessions to foster transparency andย knowledge-sharing.ย 
  • Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team.ย 
  • Stayย up-to-dateย with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role.ย 
  • Take initiative, share wins, and work with purpose - we value engineers who care deeply about their craft and their impact on others.ย 

We are passionate about your growth, so to achieve success in this role you should have:ย 

Qualifications:

  • 6+ years of professional software development experience, with a focus on Python.
  • Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering).
  • Required experience designing and building AI agents, including tool use, orchestration, memory/context management, and workflow automation.
  • Required experience building AI evaluation harnesses to test, measure, monitor, and improve agent and LLM application quality.
  • Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).
  • Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning.
  • React frontend development skills/Javascript are a plus.
  • Experience with Agile methodologies and CI/CD practices.
  • Bachelor's degree in Computer Scienceย or another STEM field withย heavy analyticsย focus preferredย 

We believe People Matter, so we offer benefits that go beyond:

  • Monthly paid volunteer hours and donation matching to benefit our communitiesย 
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning servicesย ย 
  • Up to 12-weeks of fully paid parental leaveย ย ย 
  • Mental health care, including free counseling sessions:ย ย 
  • We'll help you fund your learning journey with generous tuition reimbursementย 
  • Pet insurance discountsย 
  • And more!ย 

Be Your Best Self. Be Berkadia.ย 

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