1

Machine Learning Petroleum Engineer Jobs in Pennsylvania

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

Senior Machine Learning Engineer

Malvern, PA ยท On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship or required due to government contract requirements * $230-280,000 base + Equity + Benefits About ...

Machine Learning Engineer III

Pittsburgh, PA ยท On-site

$111K - $133K/yr

They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...

next page

Showing results 1-20

Machine Learning Petroleum Engineer information

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 Pennsylvania?

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

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

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

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

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

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

Machine Learning Engineer

Adidev Technologies Inc

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted 25 days ago


Job description

Role: Machine Learning Engineer

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

            Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

 

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

·        Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

·        Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

·        Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

·        Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

·        Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

·        Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

·        Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

 

Requirements:

·        Degree in Computer Science, Engineering, Statistics, or a related technical field.

·        Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

·        Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

·        Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

·        Strong foundational understanding of algorithmic complexity and data structure optimization.

·        Excellent problem-solving, collaboration, and communication abilities.

·        Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

·        Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

·        Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

·        Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

·        Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

·        Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply: 

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond! 

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Ready to Embark? 

 we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME