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Hiring Model Jobs in Washington (NOW HIRING)

Improbable LLC

Model Engineer

Arlington, VA · On-site

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic Design and Modeling Practice. In this role, you will be responsible for supporting semantic model ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic Design and Modeling Practice. In this role, you will be responsible for supporting semantic model ...

Leidos

Model Based Systems Engineer

Alexandria, VA · On-site

$107K - $195K/yr

The Defense Sector at Leidos currently has an opening for acleared Model Based Systems Engineer on ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Leidos

Model Based Systems Engineer

Alexandria, VA · On-site

$107K - $195K/yr

Description The Defense Sector at Leidos currently has an opening for a cleared Model Based Systems ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Leidos

Model-Based Systems Engineer

Arlington, VA · On-site

$69K - $125K/yr

Day-to-day life will involve exercising existing tools and models and creating new models to ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Leidos

Model-Based Systems Engineer

Arlington, VA · On-site

$69K - $125K/yr

Day-to-day life will involve exercising existing tools and models and creating new models to ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Leidos

Model-Based Systems Engineer

Arlington, VA · On-site

$69K - $125K/yr

Day-to-day life will involve exercising existing tools and models and creating new models to ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

STR

Principal Model-Based Systems Engineer

Arlington, VA · On-site

$206K - $284K/yr

STR is hiring a Principal Model-Based Systems Engineer (MBSE) in our Woburn, MA office (other locations: Dayton, OH & Arlington, VA) to work across a broad portfolio of DoD mission areas. The Systems ...

STR

Principal Model-Based Systems Engineer

Arlington, VA · On-site

$206K - $284K/yr

STR is hiring a Principal Model-Based Systems Engineer (MBSE) in our Woburn, MA office (other locations : Dayton, OH & Arlington, VA ) to work across a broad portfolio of DoD mission areas. The ...

Ztek Consulting INC

Cards SME

Hanover, MD · On-site

Ztek's diversity-focused hiring models have proven successful, particularly in hiring veterans. The company's veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with ...

AECOM

Travel Demand Modeler

Arlington, VA · On-site

Support troubleshooting of model runs and assist in resolving technical issues * Help ensure ... hiring activity seriously. To support this commitment, all newly hired employees are required to ...

AECOM

Travel Demand Modeler

Arlington, VA

Support troubleshooting of model runs and assist in resolving technical issues * Help ensure ... hiring activity seriously. To support this commitment, all newly hired employees are required to ...

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All JobsHiring Model JobsHiring Model Jobs in Washington

Hiring Model information

See Washington salary details

$11

$35

$75

How much do hiring model jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for hiring model in Washington is $35.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $44.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by hiring models during photoshoots or casting calls?

Hiring models often encounter challenges such as adapting quickly to different creative directions, maintaining energy and professionalism during long shoots, and standing out in competitive casting environments. It's important to be receptive to feedback, comfortable with varied settings, and able to collaborate closely with photographers, stylists, and other team members. Building resilience and strong communication skills can help models thrive and make a positive impression in these fast-paced situations.

What is the difference between Hiring Model vs Staffing Coordinator?

AspectHiring ModelStaffing Coordinator
Primary RoleDefines hiring strategies, manages recruitment processes, and oversees talent acquisition methodsCoordinates staffing activities, schedules interviews, and communicates between candidates and hiring managers
Required CredentialsHR or recruiting experience, knowledge of hiring practicesHR or administrative experience, strong organizational skills
Work EnvironmentHR departments, recruitment agencies, corporate HR teamsStaffing agencies, HR departments, recruitment teams
Industry UsageWidely used across industries for strategic hiringCommon in staffing agencies and large organizations

The Hiring Model focuses on developing and implementing hiring strategies, while the Staffing Coordinator handles the day-to-day coordination of staffing activities. Both roles are essential in the recruitment process but serve different functions within the hiring ecosystem.

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

To thrive as a Hiring Manager, you need strong knowledge of recruitment processes, talent assessment, and employment law, often supported by a degree in human resources or business and relevant HR certifications. Familiarity with applicant tracking systems (ATS), HRIS platforms, and sourcing tools like LinkedIn Recruiter is typically required. Excellent interpersonal skills, decision-making ability, and strong organizational skills help you build candidate relationships and manage multiple searches efficiently. These skills ensure you attract and select top talent, supporting organizational growth and culture.

What is a hiring model?

Hiring models refer to the different strategies and structures organizations use to recruit and employ talent. Common hiring models include full-time employment, part-time employment, contract-based hiring, freelance or gig work, and outsourcing. Companies choose a hiring model based on their specific needs, project duration, budget, and desired flexibility. Selecting the right hiring model can help ensure the efficient allocation of resources and successful workforce management.
What are popular job titles related to Hiring Model jobs in Washington? For Hiring Model jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Hiring Model jobs in Washington look for? The top searched job categories for Hiring Model jobs in Washington are:
What cities in Washington are hiring for Hiring Model jobs? Cities in Washington with the most Hiring Model job openings:
Hiring Model jobs near you
Infographic showing various Hiring Model job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $73,897 per year, or $35.5 per hour.

Model Engineer

Improbable LLC

Arlington, VA • On-site

Full-time

Re-posted 4 days ago

Job description

Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.
Our mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.
At Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfillment of solving hard problems to achieve something profound and transformative.
Your mission is to build robust, performant, scalable scientific models that support our entire product offering and facilitate next generation decision support. We are a diverse team of engineers and applied scientists working very collaboratively, internally and with our customers. We are friendly and inclusive; driven to take synthetic environments to the next level.
We focus on modularity and reusability to create complex systems from combinations of simpler systems, such as modeling social systems as goal oriented actors in a synthetic environment with imperfect information. Our model engineers take cutting-edge domain specific research and combine it with best practices, pragmatism, and creativity to run our complex realistic simulations as fast as possible; solving our customers' problems and supporting their decision-making processes.
Areas for Impact
  • Contributing improvements to practices and processes of a high performing team.
  • Maturing prototype models so that they are scalable, robust and performant.
  • Developing and implementing algorithms which result in plausible modeled behavior.
  • Building pipelines to extract, synthesize and integrate data from various sources, making it available to simulation engines and user interfaces.
  • Building tooling that enables model developers to do their work quicker and better.
  • Measuring, tracking, and improving performance of models so that we can reach new levels of speed and scale.
  • Taking ownership of verifying the reliability of the models that we create.
  • Working closely with our customers to understand their problems and develop use cases for Improbable technology.

We would like to hear from you if you identify with the following
  • You have 3+ years professional experience (or an advanced degree) in model and simulation development.
  • Proficient coding ability - with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, Java, C++, C#, and many related tools and libraries.
  • You are familiar with the more advanced features of software design (e.g. decorators, generators, objects/classes, system and API design) and data science/simulation techniques and libraries (e.g. agent based modeling, algorithm complexity, data frames, graph theory, machine learning).
  • You are proactive and autonomous, able to identify the most impactful work among competing requirements.
  • You have a strong sense of intellectual curiosity; ready to hone your craft and inspire others to be better engineers.
  • You enjoy pair programming, collaboration, and are passionate about sharing knowledge with and learning from others.
  • You are naturally pragmatic, balancing fast-moving project requirements with quality and good practices.

While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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