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Machine Learning Cfd Jobs in Pittsburgh, PA (NOW HIRING)

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Machine Learning Cfd information

See Pittsburgh, PA salary details

$10.7K

$90.3K

$128.1K

How much do machine learning cfd jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning cfd in Pittsburgh, PA is $90,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $106,800.00 per year, depending on experience, location, and employer.

What is a machine learning CFD?

Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.

How does a machine learning CFD professional typically collaborate with domain experts and software engineers in a project setting?

As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.

What are the key skills and qualifications needed to thrive as a machine learning CFD engineer, and why are they important?

To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.

What is the difference between Machine Learning CFD vs Data Scientist?

AspectMachine Learning CFDData Scientist
Required CredentialsDegree in Engineering, Computer Science, or related fields; knowledge of CFD softwareDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentEngineering firms, aerospace, automotive industries, research labsBusiness, finance, tech companies, research institutions
Industry UsageSimulation, fluid dynamics, engineering analysisData analysis, predictive modeling, business insights

Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.

What are popular job titles related to Machine Learning Cfd jobs in Pittsburgh, PA?

For Machine Learning Cfd jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Pittsburgh, PA look for?

The top searched job categories for Machine Learning Cfd jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Machine Learning Cfd jobs?

Cities near Pittsburgh, PA with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you

Turbomachinery Engineering Expert- Relocation Offered

Elliott Group

Jeannette, PA • On-site

$93K - $128K/yr

Full-time

Re-posted 28 days ago

Job description

Overview & Responsibilities
Turbomachinery Engineering Expert
We're looking for a highly skilled and experienced Turbomachinery Engineering Expert to join our team. This individual will be a subject matter expert in rotating machinery, with a proven track record of hands-on experience in their design, analysis, troubleshooting, operation, and maintenance. The ideal candidate is a problem-solver who can make decisions on complex projects and mentor junior engineers.
Key Responsibilities
  • Provide expert-level technical guidance and support for all aspects of turbomachinery, specifically in compressors, pumps, or steam turbines.
  • Demonstrated ability to direct major investigations, guide highly skilled teams, influence decision-makers at all levels, and present technical solutions convincingly to stakeholders
  • Lead and contribute to the design, analysis, and troubleshooting of new and existing turbomachinery equipment for various applications to resolve complex design and operational issues.
  • Consult on critical analysis efforts in the design process which can include specialty areas such as vibration and structural analysis, performance, testing, maintenance and root cause failure analysis.
  • Develop, support and drive initiatives for improvement in design, process, manufacture, and operation and maintenance strategies, including preventative and predictive maintenance programs.
  • Collaborate with cross-functional teams, including manufacturing operations, technical service, and engineering, to ensure equipment reliability and efficiency.
  • Create and review technical specifications, engineering drawings, and manufacturing procedures.
  • Provide technical training and mentorship to junior engineers and manufacturing staff.

Education and Experience
  • Bachelor's degree in Mechanical Engineering or a related field. A Master's degree is a plus, but not required.
  • 15+ years of hands-on experience specifically with engineered to order compressors, pumps, or steam turbines in an engineering or manufacturing environment (e.g., petrochemical, oil & gas, power generation).
  • Demonstrated experience with the full lifecycle of turbomachinery, from initial design, manufacturing, testing and installation to commissioning and operation.
  • Experience with compressor, pump, or turbine engineering and design is essential.
  • Proven experience leading technical projects and managing multiple priorities.

Knowledge, Skills, and Abilities
  • Deep understanding of turbomachinery principles, including thermodynamics, fluid dynamics, and mechanical design.
  • Familiarity with industry standards such as API 617, API 610, or API 612, as applicable to compressors, pumps, or steam turbines.
  • Strong analytical and problem-solving skills with a meticulous attention to detail.
  • Ability to read and interpret complex engineering drawings, schematics, and P&IDs.
  • Excellent communication and interpersonal skills to effectively collaborate with a diverse team.
  • Understanding or proficiency in engineering software (e.g., FEA, CFD) and data analysis tools results used in decision making.
  • Proficiency in vibration analysis and condition monitoring techniques is a plus.

Intangibles
  • Passion for turbomachinery and a commitment to continuous learning and professional development.
  • A proactive and results-oriented mindset, with the ability to work independently and take ownership of projects.
  • Strong leadership and mentorship capabilities to inspire and guide others.
  • Exceptional ability to remain calm and focused when troubleshooting critical equipment failures.
  • A resourceful and innovative approach to solving complex engineering challenges.

About Us
Ebara Elliott Energy - A Solution Provider in the Energy Industry
We are proud of our legacy, but our focus is on the future, putting our tradition of innovation to work on the new challenges facing global energy production and processes. Using advanced technologies, producing high-quality products, and offering reliable services are just a few of the ways that Ebara Elliott Energy is doing its part to contribute to a cleaner, more sustainable future.
As a solution provider in the energy industry, Ebara Elliott Energy designs, manufactures, and services technically advanced centrifugal and axial compressors, steam turbines, power recovery expanders, custom pumps, and cryogenic products used in the petrochemical, refining, oil & gas, and liquefied gas industries, as well as in power applications. We employ 2,300 people in 30 locations around the world. The company is a wholly owned subsidiary of Ebara Corporation, a major industrial conglomerate headquartered in Tokyo, Japan. Ebara employs 19,000 people and has sales of US $5 billion.
Equal Employment Opportunity
Ebara Elliott Energy is an equal employment opportunity/affirmative action employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by the federal, state or local laws of the United States. Applicants and employees are protected under U.S. federal law from discrimination. To learn more, click here.
To learn more about our Job Applicant Privacy Notice, please click here.
No agency submissions please. NOTE: Resumes submitted to any Ebara Elliott Energy employee without a current, signed and valid contract in place with the Ebara Elliott Energy recruiting team will become the property of Ebara Elliott Energy and no search fees will be paid.

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