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Machine Learning Petroleum Engineer Jobs in Seattle, WA

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Snapchat

Machine Learning Engineer, Level 5

Seattle, WA · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Nvidia

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/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 ...

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

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Showing results 21-40

All JobsMachine Learning Petroleum Engineer JobsMachine Learning Petroleum Engineer Jobs in Seattle, WA

Machine Learning Petroleum Engineer information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

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

As of Aug 16, 2026, the average yearly pay for machine learning petroleum engineer in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 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 Seattle, WA?

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

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

The top searched job categories for Machine Learning Petroleum Engineer jobs in Seattle, WA are:

Machine Learning Petroleum Engineer jobs near you

Machine Learning Engineer - Health AIML

Socket.dev

Seattle, WA • On-site

$180 - $280/hr

Other

Posted 2 days ago

New

Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

Description

In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.

Minimum Qualifications
  • 10+ years of overall software development experience.
  • Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
  • BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Preferred Qualifications
  • Ph.D. in Computer Science, Machine Learning, or a related field.
  • Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
  • 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
  • Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
  • Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
  • Experience with healthcare data, products, and workflows.
  • Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
  • Proven track record of contributing to diverse teams in a collaborative environment.
  • A passion for building outstanding and innovative products.
  • This position involves a wide variety of interdisciplinary skills
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