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Machine Learning Fortran Jobs (NOW HIRING)

The Pennsylvania State University

Proficiency in programming languages, such as Python or Fortran. * Experiences with machine learning is a plus to the application. * Solid understanding of the physical hydrologic cycle and large ...

Helion Energy

Principal Plasma Data Scientist

Everett, WA · On-site

$230K - $270K/yr

Helion is hiring a Plasma Data Scientist specializing in physics‑grounded machine learning to ... Fortran or HPC exposure valuable) * Familiarity with magnetic diffusion, circuit coupling, or ...

Noblis

AI/ML Research Scientist

Reston, VA · On-site

Design and implement machine learning methods, particularly evolutionary computation, symbolic ... Knowledge of Rust and Fortran would be a plus. * Experience with HP computing, including GPU ...

Urus

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

AgSource

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

Urus Group LP

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

Farm Systems

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

AgSource

Quantitative Geneticist

Madison, WI

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran * Design and refine ...

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Machine Learning Fortran information

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$41

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How much do machine learning fortran jobs pay per hour?

As of Jun 5, 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.
Postdoctoral Research Associate

Postdoctoral Research Associate

Brookhaven National Laboratory

Upton, NY • On-site

$71K - $119K/yr

Full-time

Posted 22 days ago

Job description

The Scientific Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and software in support of Department of Energy (DOE) mission applications across a broad range of scientific domains, including materials, biology, physics, and nuclear science. The successful candidate will partner closely with domain scientists to co-develop and apply cutting-edge machine learning and computational techniques to address scientific computing needs such as scalable ML training and inference, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research and proposal ideas in collaboration with staff scientists, supporting both their professional development and the goals of the Laboratory.
The appointment will be initially for two years, with the possibility of extension and career growth contingent on performance and funding.
Essential Duties and Responsibilities:
  • Work collaboratively with computer scientists, computational scientists, applied mathematicians, and domain scientists
  • Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class supercomputing facilities, to enable and support scientific research
  • Identify and implement strategies for correctness and reproducibility testing, and analyze and optimize software scalability and performance
  • Apply software engineering and documentation best practices to ensure usability and maintainability
  • Present results at meetings, workshops, and conferences
  • Publish findings in conference proceedings and/or peer-reviewed journals

Required Knowledge, Skills, and Abilities:
  • PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field.
  • Strong experience developing, deploying, and optimizing applications and workflows in high-performance computing (HPC) environments.
  • Demonstrated programming proficiency in C/C++ (preferred) and Python, with experience in additional languages such as Fortran considered a plus.
  • Strong knowledge of at least one parallel programming model commonly used in HPC, such as MPI, OpenMP/OpenACC, CUDA, HIP, Kokkos, or SyCL/OpenCL.
  • Hands-on experience with machine learning, including end-to-end training, tuning, and evaluation of at least one class of models.
  • Working understanding of common machine learning model classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks.
  • Familiarity with software engineering best practices, including testing, documentation, source code management, and release procedures.
  • Effective written and verbal communication skills, including the ability to work productively with interdisciplinary teams.

Preferred Knowledge, Skills, and Abilities:
  • Experience scaling machine learning training and/or inference on multi-node HPC systems.
  • History of implementing, adapting, or optimizing machine learning architectures for scientific or high-performance computing applications.
  • Background in software performance evaluation, profiling, and optimization on CPUs and GPUs.
  • Knowledge of common numerical algorithms used in scientific computing, such as linear solvers, optimization methods, or stochastic sampling techniques (e.g., Markov Chain Monte Carlo).
  • Experience developing or using advanced computational workflows, including adaptive, automated, or agent-based (agentic) workflows that integrate simulation, data analysis, and/or machine learning.
  • Experience with computational workflows on large-scale HPC systems, including leadership-class or pre-exascale/exascale platforms such as Perlmutter, Frontier, or Aurora.
  • Contributed to collaborative or open-source software projects.

Additional Information:
  • Moderate domestic and international travels are expected.
  • This is an on-site position at the Upton, NY campus, with the possibility of hybrid work arrangements.
  • BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
  • PhD must be obtained prior to commencing employment.
  • Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $71,900 - $119,000 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group.

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program
Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory - view more information at www.bnl.gov/real-id. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews.
About Us
Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.
Equal Opportunity/Affirmative Action Employer
Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal Contractor
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file

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