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Agent Based Modeling Jobs in Virginia (NOW HIRING)

Improbable LLC

Applied Scientist

Arlington, VA

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Purple Drive Technologies

Enterprise Architect

Mclean, VA · On-site

$69.75 - $90/hr

Specialize in large language models and frameworks, vector databases, and cloud deployments ... Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches ...

ClifyX

AI Architect/ AI Engineer

Mclean, VA

$64.75 - $85.25/hr

... agent-based approaches and autonomous workflows. · Strong expertise in Prompt Engineering (Zero ... models. · Experience building Copilot-led accelerators for engineering productivity and rapid ...

NSS

Full Stack Engineer (AI Focused)

Herndon, VA

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

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How much do agent based modeling jobs pay per hour?

As of May 29, 2026, the average hourly pay for agent based modeling in Virginia is $29.89, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $39.33 per hour, depending on experience, location, and employer.

What is an Agent-Based Modeling job?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are the key skills and qualifications needed to thrive in the Agent Based Modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an Agent Based Modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.
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Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Virginia as of May 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $62,164 per year, or $29.9 per hour.

Applied Scientist

Improbable LLC

Arlington, VA

Full-time

Posted 26 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. 
 

Our applied scientists are solution focused, collaborating in diverse technical teams to design, build, deploy, and evaluate complex models and simulations that help solve a variety of real-world problems. Your work could entail anything from the creation of realistic synthetic entities and environments to modeling real world systems.
Areas for Impact
  • Bring together best in class models to build and iterate on the most appropriate application of Modeling & Simulation.
  • Iteratively design and prototype models of real-world systems that enable our customers to interrogate the past, understand the present, and predict the future.
  • Collaborate with engineers to implement high performance models in production environments.
  • Work closely with Improbable's product team to enhance our foundational technology platform.
  • Critically assess the type and quality of customer or open-source data and define modeling assumptions and capture uncertainty.
  • Take ownership of ensuring and demonstrating the reliability of the models that we create.
  • Work closely with our technology customers to understand their problems and develop use cases for Improbable technology.

Additionally, you will drive thought leadership within the company and help our clients understand their needs and design their model and simulation strategies. This involves keeping up to date with a diverse body of cutting-edge research, designing and prototyping new technical approaches, and rapidly developing expertise in new subject areas to support new bids and projects. 
We'd like to hear from you if you identify with any of the following
  • Strong background and experience in delivery of technical, data-rich projects ideally for external clients.
  • Degree in a scientific, engineering, or mathematical field, ideally with a computational element.
  • Demonstrated knowledge in a statistical modeling and analysis.
  • Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems.
  • Experience using game engines such as Unity and Unreal.
  • Pragmatic 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, R, Java, C, C++, and many related tools and libraries. 
  • Breaking down problem requirements, selecting effective analytical methods, and developing defensible solutions. 
  • Probabilistic programming. You can see our early open-sourced work here. 
  • Working with real, complex data, including geospatial data. 
  • Effectively communicating with clients in person, in writing, and with visualization. 
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. 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.