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Machine Learning Cfd Jobs in Washington (NOW HIRING)

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Machine Learning Cfd information

What are Machine Learning CFD jobs?

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 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 the key skills and qualifications needed to thrive as a Machine Learning CFD (Computational Fluid Dynamics) 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 are popular job titles related to Machine Learning Cfd jobs in Washington? For Machine Learning Cfd jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Washington look for? The top searched job categories for Machine Learning Cfd jobs in Washington are:
What cities in Washington are hiring for Machine Learning Cfd jobs? Cities in Washington with the most Machine Learning Cfd job openings:
Machine Learning Cfd jobs near you
AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

IntelliGenesis LLC

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago

Job description

AI/Data Science Training Manager/Curriculum Developer (DoW SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. More information can be found here: https://skillbridge.osd.mil/index.htm
Eligibility Requirements:
  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration:
  • 90-180 days
Position Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You'll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Position Requirements:
  • Must be a US Citizen
  • Active TS/SCI clearance/polygraph required
  • Must be able to report daily to Columbia, MD office
  • Strong understanding of IC mission, tools, and workflows
  • Experience in developing, modernizing, or delivering technical training
  • Familiarity with curriculum development methodologies and instructional systems design (ISD) principles
Minimum six (6) years of experience in one or more of the following fields:
  • Data Science / Data Analytics
  • Machine Learning / Artificial Intelligence
  • Signals Analysis
  • SIGINT Metadata Analysis
  • Cyber Threat Intelligence
  • Target Digital Network Analysis
  • Digital Network Exploitation Analysis
  • Malware Analysis
  • Cloud-based Data Pipelines
  • Conducting Network Vulnerability Assessments
Ideal Candidates Come From the Following Military Occupational Skill Communities:
  • Air Force: 1N4, 3D0, 3D1
  • Marine Corps: 2611, 2629, 1721
  • Army: 17C, 170A, 35N, 352N
  • Navy: CTN, CTR, IW Officers
Desired Training or Certifications:
  • Master Training Specialist (MTS)
  • Common Faculty Development-Instructor Course (CFD-IC)
  • Army Basic Instructor Course (ABIC)
  • Air Force Basic Instructor Course (BIC)
  • Adjunct Faculty (ADET, NCS, NCU)
  • AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
  • Data Science Bootcamps or equivalent experience
Bonus Experience:
  • Familiarity with Jupyter Notebooks, Python, R, or SQL
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
  • Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)
This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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