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Model Engineering Jobs in Virginia (NOW HIRING)

ECS

AI Model Developer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Perform data preprocessing, feature engineering, and model optimization. * Evaluate models using domain appropriate metrics and improve performance iteratively. * Deploy custom models to production ...

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Model Engineering information

See Virginia salary details

$10

$31

$66

How much do model engineering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for model engineering in Virginia is $31.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $38.85 per hour, depending on experience, location, and employer.

What is model engineering?

Model engineering is the discipline of designing, building, and testing scale models of machines, engines, and mechanical systems, often as a hobby or for educational purposes. It involves applying engineering principles to create functional replicas, usually of steam engines, locomotives, or other mechanical devices. Model engineers use skills in machining, metalworking, and problem-solving to bring detailed plans to life. The field combines creativity, craftsmanship, and technical knowledge, and is popular among enthusiasts who enjoy both the process and the finished models.

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

To thrive as a Model Engineer, you need a solid background in mechanical engineering principles, precision fabrication, and often a relevant engineering degree or technical training. Familiarity with CAD software, CNC machines, lathes, and other fabrication tools is typically required, along with any relevant safety certifications. Attention to detail, creativity, and strong problem-solving skills help set outstanding model engineers apart. These skills ensure that accurate, functional, and high-quality models or prototypes are produced efficiently and safely.

What are some typical challenges faced by model engineers when collaborating with cross-functional teams?

Model engineers often work closely with data scientists, product managers, and software engineers to develop and deploy machine learning models. A common challenge is ensuring clear communication across teams with different technical backgrounds, especially when translating complex model requirements into actionable development tasks. Additionally, balancing accuracy and performance with business needs can be demanding, requiring model engineers to find practical solutions that align with project goals. Regular meetings and thorough documentation are essential to streamline collaboration and overcome these hurdles.

What is the difference between Model Engineering vs Mechanical Engineering?

AspectModel EngineeringMechanical Engineering
CredentialsTypically requires specialized training or certifications in model making and designRequires a bachelor's degree or higher in mechanical engineering or related fields
Work EnvironmentHobbyist workshops, small-scale manufacturing, or specialized model shopsIndustrial facilities, engineering firms, manufacturing plants
Industry UsageUsed in hobbyist communities, model railroads, and small-scale prototypesApplied across various industries including automotive, aerospace, and manufacturing

Model Engineering focuses on creating detailed, small-scale models often as a hobby or for prototypes, requiring specialized skills and certifications. Mechanical Engineering covers a broad range of industrial applications, involving design, analysis, and manufacturing of mechanical systems. While both involve mechanical principles, Model Engineering is more specialized and hobby-oriented, whereas Mechanical Engineering is a comprehensive, industry-wide profession.

What does a model engineering do?

A model engineer designs, builds, and maintains detailed scale models, often of machinery, vehicles, or architectural structures. They use skills in drafting, machining, and assembly, frequently working with tools like lathes and CNC machines in workshops or labs. Model engineers may also create technical drawings and ensure models meet precise specifications.

What are popular job titles related to Model Engineering jobs in Virginia?

For Model Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Model Engineering jobs in Virginia look for?

The top searched job categories for Model Engineering jobs in Virginia are:

Model Engineering jobs near you
Infographic showing various Model Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $64,686 per year, or $31.1 per hour.

AI/ML Model Engineer with Security Clearance

Intrepid

Fairfax, VA • On-site

Contractor

Re-posted 22 days ago

Job description

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights. The role involves testing model performance, refining algorithms, and monitoring AI driven systems in production. ESSENTIAL JOB FUNCTIONS: * Develop machine learning models to enhance automation and insights.
* Test model performance and refine algorithms.
* Monitor AI-driven systems in production environments.
* Operate independently across multiple work areas.
* Lead major technical assignments and supervise teams. EDUCATION & EXPERIENCE: * Bachelor's degree in engineering or related field
* Minimum 5 years of AI/ML expertise and experience developing algorithms capable of learning and predicting future events, turning those algorithms into AI models and systems. KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit
* 2 years of prior experience in the Department of Defense in a quantitative or analytical supervision role
* Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
* Familiarity with emerging technologies and recommended use cases and requirements.
* Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients SECURITY CLEARANCE: Top Secret SCI CI Polygraph Intrepid Acquisition Holdings, LLC www.intrepidgs.com Intrepid Acquisition Holdings, LLC. (IAH), is a leading provider of global-scale logistics, facilities management, and advanced professional and technical services. IAH provides a broad spectrum of services and solutions to U.S. and international government agencies, and organizations. As a world-class leader in providing seasoned program management, IAH leverages and integrates its capabilities to provide safe, innovative, and reliable solutions to meet customers' diverse and complex challenges. Intrepid Acquisition Holdings, LLC. ("IAH" and/or "Company") and its affiliates, including but not limited to IAP World Services, Inc., Readiness Management Support L.C., JPATS Logistics Services, LLC., and subsidiaries is an EOE, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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