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Computational Modeling Jobs in Reston, VA (NOW HIRING)

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 ...

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 ...

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Computational Modeling information

See Reston, VA salary details

$42

$57

$77

How much do computational modeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for computational modeling in Reston, VA is $57.14, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $76.54 per hour, depending on experience, location, and employer.

What are some examples of computational models?

Computational modeling in the context of computational modeling jobs involves creating mathematical or algorithmic representations of real-world systems. Examples include neural networks for machine learning, agent-based models for simulating social behaviors, and finite element models for engineering and physical systems. These models are used across fields such as data analysis, simulation, and predictive analytics, often requiring proficiency with programming languages like Python or MATLAB.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling is a specialized skill often used in fields like animation, gaming, and product design. Salaries vary based on experience, industry, and location, but experienced 3D modelers with advanced skills can earn competitive wages, especially in high-demand sectors or with proficiency in tools like Blender or Maya.

Do computational biologists get paid well?

Computational biologists typically earn competitive salaries that reflect their specialized skills in data analysis, programming, and biological research. Salaries vary based on experience, education, and location, but they are generally above average compared to many other scientific roles. Advanced expertise in tools like Python, R, and machine learning can further increase earning potential.

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

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What do computational models do?

Computational modeling involves creating computer-based simulations to analyze and predict complex systems or phenomena. Computational modelers develop algorithms and use programming tools to test hypotheses, optimize processes, and support decision-making across fields like science, engineering, and data analysis.
What are popular job titles related to Computational Modeling jobs in Reston, VA? For Computational Modeling jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Computational Modeling jobs in Reston, VA look for? The top searched job categories for Computational Modeling jobs in Reston, VA are:
What cities near Reston, VA are hiring for Computational Modeling jobs? Cities near Reston, VA with the most Computational Modeling job openings:
Infographic showing various Computational Modeling job openings in Reston, VA as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,860 per year, or $57.1 per hour.

Model Engineer

Improbable LLC

Arlington, VA • On-site

Full-time

Posted 3 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. 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.