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Agent Based Modeling Jobs (NOW HIRING)

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

... and Agent based modeling using tools such as Anylogic * MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field Skills * Experience in digital twin ...

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

... and Agent based modeling using tools such as AnyLogic * MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field Skill * Experience in digital twin ...

Symbotic

Staff Data Scientist

Wilmington, MA · On-site

Discrete-event simulation (DES) or agent-based modeling • Strong experience with: Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools) • ...

STR

Lead Modeling and Simulation Engineer

Woburn, MA · On-site

$157K - $224K/yr

Guide implementation of event-based and agent-based models, including translating verified algorithms into performant C/C++ implementations * Maintain and extend existing M&S frameworks to ...

STR

Lead Modeling and Simulation Engineer

Woburn, MA · On-site

$157K - $224K/yr

Guide implementation of event-based and agent-based models, including translating verified algorithms into performant C/C++ implementations * Maintain and extend existing M&S frameworks to ...

STR

Lead Modeling and Simulation Engineer

Woburn, MA

$157K - $224K/yr

Guide implementation of event-based and agent-based models, including translating verified algorithms into performant C/C++ implementations * Maintain and extend existing M&S frameworks to ...

Nalley Consulting

Systems Engineer - Sr

Reston, VA · On-site

$110K - $151K/yr

Develop modeling and simulation and conduct computational analysis, Monte Carlo simulations, multi-physics modeling, or agent-based modeling. * Use high-performance computing (HPC) environments to ...

Nalley Consulting

Systems Engineer - Sr

Reston, VA · On-site

$110K - $151K/yr

Develop modeling and simulation and conduct computational analysis, Monte Carlo simulations, multi-physics modeling, or agent-based modeling. * Use high-performance computing (HPC) environments to ...

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Agent Based Modeling information

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How much do agent based modeling jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for agent based modeling in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.66 per hour, depending on experience, location, and employer.

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.

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.

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Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
DoD MLOps Software Engineer

DoD MLOps Software Engineer

Charles River Analytics

Honolulu, HI • On-site

$140K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!
We have an exciting opportunity for an MLOps Software Engineer to join a customer on-site as an embedded technical analyst. In this role, you will be responsible for customizing AI agent training configurations and tailoring agent-based simulation backends to support military wargaming and analysis. Your responsibilities will include helping customers define analytical problems, coding agent behavior and decision-making logic, configuring the agent backend, evaluating agent outputs, and identifying any shortcomings in the domain-specific language or agent architecture for the product development team.
Our ideal candidate is much more than a typical data analyst or AI researcher. We are looking for a customer-facing applied AI and wargaming analyst who can effectively represent military decision problems, behaviors, constraints, objectives, and workflows within a proprietary agent-based simulation architecture. If you're interested in answering this challenge, we'd love to hear from you. Join our mission and innovate with purpose.
What you'll need:
  • Bachelor's degree in computer science or a related field; a graduate-level degree is preferred
  • Experience in artificial intelligence, with a focus on AI agent reinforcement learning -and agent-based simulation
  • Proficiency in understanding and configuring agent roles, goals, behaviors, interactions, state, decision logic, and emergent behavior within a simulation environment
  • Capability to read, write, customize, test, and document a specialized language or configuration grammar used to express wargaming logic
  • Experience with deployment engineering (e.g., build systems and containerization), Docker, Kubernetes, cloud-deployment (e.g., AWS gov cloud), and proficient with logging and monitoring systems to maintain high up time.
  • Experience working with customers to define analytical questions, decision contexts, assumptions, measures, constraints, and experimental designs
  • Skills in testing agent behaviors, inspecting traces, debugging unexpected outcomes, documenting uncertainties, and clearly communicating limitations
  • Ability to configure agent runtime settings, data/context sources, tool access, execution parameters, integration points, and versioned baselines
  • Proficient in explaining complex agent behaviors and domain-specific language (DSL) logic to non-developer military users, as well as communicating field issues to engineering teams
  • Capacity to translate customer needs and observed shortfalls into product requirements, bug reports, feature requests, and acceptance criteria
  • Active or eligible for a security clearance, as required by contract

We prefer to see:
  • 5+ years of experience in artificial intelligence, with a focus on agent-based simulation
  • Experience with agent-based modeling, AI-enabled simulations, decision-support tools, wargaming systems, and human-machine teaming
  • Proficient in domain-specific languages (DSLs), scripting languages, behavior trees, rule engines, planning systems, multi-agent systems, and simulation configuration languages
  • Skilled in Python, YAML/JSON, SQL, Git, CI/CD pipelines, testing frameworks, logging, tracing, and configuration management
  • Familiar with large language model (LLM)-enabled agents, symbolic AI, planning algorithms, reinforcement learning, behavior modeling, and cognitive architectures, as they pertain to architecture
  • Experience in military analysis, campaign analysis, mission analysis, operational planning, or experimentation
  • Knowledge of AI risk management, model evaluation, traceability, human oversight, and responsible AI documentation

Salary Range
$140,000 - $225,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before

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