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Machine Learning Fortran Jobs (NOW HIRING)

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Fortran Programming * Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python ... Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ...

North Wind

CFD Engineer

Newport News, VA · On-site

Apply advanced data science techniques with machine learning to build surrogate models of CFD ... Strong programming skills for modeling and analysis (e.g., Python, MATLAB / Simulink, Fortran, or C ...

PhysicsX

Senior CFD Engineer - Turbomachinery

New York, NY · On-site

$110K - $149K/yr

This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers ... Coding experience (e.g., Python, MATLAB, Fortran) or the ability to quickly learn programming ...

North Wind

Aerospace Analysis Engineer

Newport News, VA · On-site

Apply advanced data science techniques with machine learning to build surrogate models of CFD ... Strong programming skills for modeling and analysis (e.g., Python, MATLAB / Simulink, Fortran, or C ...

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How much do machine learning fortran jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for machine learning fortran in the United States is $71.16, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $79.09 per hour, depending on experience, location, and employer.

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

AspectMachine Learning FortranData Scientist
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; familiarity with FortranBachelor's or higher in Statistics, Computer Science, or related fields; often includes certifications in data analysis
Work EnvironmentResearch labs, engineering firms, industries using legacy systemsTech companies, finance, healthcare, consulting firms
Industry UsageSpecialized in scientific computing, legacy systems, numerical simulationsData analysis, predictive modeling, business insights

Machine Learning Fortran focuses on applying machine learning techniques within scientific and engineering contexts, often working with legacy Fortran code. Data Scientists have a broader role in analyzing data across various industries, utilizing diverse tools and programming languages. While both roles require strong analytical skills, their work environments and applications differ significantly.

Infographic showing various Machine Learning Fortran job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $148,012 per year, or $71.2 per hour.
Computational Physicist - Fluid/Thermal Modeling, - Doctorate Degree (Santa Clara, CA) (Open)

Computational Physicist - Fluid/Thermal Modeling, - Doctorate Degree (Santa Clara, CA) (Open)

Applied Materials

Santa Clara, CA • On-site

$161K - $221K/yr

Full-time

Posted 22 days ago

Applied Materials rating

8.6

Company rating: 8.6 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 515 rated manufacturers

Job description

Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary:
$161,000.00 - $221,000.00
Location:
Santa Clara,CA
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. To achieve this, we employ some of the best, brightest, and most talented people in the world who work together as part of a winning team.
Applied Materials is seeking a highly skilled engineer to join its computational modeling team focused on fluid and thermal physics simulations. In this role, you will develop and implement advanced computational models using physics-based simulation tools and AI/ML techniques. You will design fluid and thermal models, automate simulation workflows, analyze large data sets, and contribute to the development and optimization of Ace+ software. This position requires close collaboration with cross-functional engineering teams to solve complex problems, improve product designs, and support next-generation chamber and process technology development.
Qualifications:
  • Advanced degree (M.S. or Ph.D.) in Mechanical, Electrical, Aerospace, Chemical Engineering, or a related field with specialization in fluid/thermal physics.
  • Proven ability to apply fluid/thermal physics and chemical kinetics principles to solve challenging problems.
  • Experience automating simulation workflows using Python, MATLAB, or similar scripting tools for data processing and large-scale analysis.
  • Proficient in at least one programming language (Python, MATLAB, C, C++, or Fortran).
  • Excellent written and verbal communication skills for effective collaboration across engineering teams.

Desirable Qualifications
  • Hands-on experience applying machine learning techniques to enhance physics-based simulations, including: surrogate models. reduced-order models, uncertainty quantification
  • Familiarity with open-source machine learning libraries and frameworks

Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 10% of the Time
Relocation Eligible:
Yes
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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About Applied Materials

Sourced by ZipRecruiter

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We're the brain (and the brawn) behind every new technology development--whether it's building semiconductor chips for smartphones and computers, or the underpinnings for robotics, AI and even smart TV display screens. With 27,000 employees in 19 countries, we offer an exciting place to grow and learn alongside some of the best people you'll ever meet. We take deep pride in our Culture of Inclusion, and we celebrate the diverse backgrounds, perspectives and experiences that help us build stronger, more resilient teams. Join us as we innovate to Make Possible a Better Future!

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1967

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