1

Agent Based Modeling Scientist Jobs in Riverside, CA

AI Scientist / AI Architect

Irvine, CA · On-site

$68.50 - $88/hr

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector ... Experience deploying ML models in production environments * Exposure to enterprise AI workflows ...

New

AI Scientist / AI Architect

Irvine, CA · On-site

$68.50 - $88/hr

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector ... Experience deploying ML models in production environments * Exposure to enterprise AI workflows ...

New

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector ... Experience deploying ML models in production environments. * Exposure to enterprise AI workflows ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

AI Scientist / AI Architect Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in ... Agent-Based Systems * Retrieval-Augmented Systems (RAG) * Enterprise AI Integration * AI/ML, Data ...

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Familiarity with Model Context Protocol (MCP) patterns and agent-based architectures. Skills ... Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. * Proven ...

next page

Showing results 1-20

Agent Based Modeling Scientist information

See Riverside, CA salary details

$34.4K

$52.8K

$100.7K

How much do agent based modeling scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for agent based modeling scientist in Riverside, CA is $52,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $51,100.00 per year, depending on experience, location, and employer.

What is an agent based modeling scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.

How does an agent based modeling scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What are the key skills and qualifications needed to thrive as an agent based modeling scientist, and why are they important?

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

What are popular job titles related to Agent Based Modeling Scientist jobs in Riverside, CA?

For Agent Based Modeling Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling Scientist jobs in Riverside, CA look for?

The top searched job categories for Agent Based Modeling Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Agent Based Modeling Scientist jobs?

Cities near Riverside, CA with the most Agent Based Modeling Scientist job openings:

Modeling and Simulation Engineer

Anduril Industries

Santa Ana, CA

Full-time

Posted 2 days ago

New


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,674 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE TEAM

Anduril's Maritime Manufacturing Technology Team is responsible for rapidly developing and implementing manufacturing technologies, processes, and materials for cutting-edge defense hardware. The team is developing deployable static and moving surfaces, undersea and sea to air vehicles, and scaling these products in our new manufacturing facilities.

ABOUT THE JOB

We are seeking a Modeling and Simulation Engineer to join our team in Santa Ana, CA working in a cutting-edge production environment to advance the state-of-the-possible in maritime manufacturing. This role combines operations research, software engineering, and advanced simulation to build and maintain one integrated production schedule for the Protofactory. You will design and implement business process automation that connects all scheduling touch points from tickets and M&E deliveries to production starts and bar charts into a single source of truth. This is not a traditional industrial engineering role; it is a digital-first, builder-oriented position.

WHAT YOU'LL DO
  • Fully automate large parts of the industrial engineering role.
  • Design, build, and maintain business process automation for full schedule management across platforms.
  • Implement and maintain one integrated master schedule for the Protofactory.
  • Build automated workflows connecting: tickets, M&E deliveries, production start events, bar charts, and reporting.
  • Develop advanced simulation models to test schedule scenarios, identify bottlenecks, and optimize flow.
  • Create data pipelines and dashboards that give real-time schedule visibility.
  • Work alongside the Protofactory Master Scheduler to translate scheduling logic into automated systems.
  • Apply operations research methods (optimization, queuing theory, discrete event simulation) to production planning problems.
  • Leverage AI/ML tools to accelerate automation development.
REQUIRED QUALIFICATIONS
  • Operations research background, degree, or demonstrated expertise in OR, applied math, or industrial engineering with quantitative focus.
  • Software engineering proficiency; can write production-quality code (Python, SQL, or similar).
  • Digital native: comfortable building tools, writing scripts, using APIs, and working in code-first environments.
  • Experience with simulation (discrete event simulation, Monte Carlo, agent-based modeling).
  • Ability to translate complex scheduling logic into automated, maintainable systems.
  • Self-directed with strong problem-solving instincts.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities.
PREFERRED QUALIFICATIONS
  • Proficiency with AI coding tools for rapid automation development.
  • Experience with production scheduling systems (ERP, MES, or custom scheduling platforms).
  • Background in manufacturing operations, even if limited.
  • Familiarity with visualization/graphics tools for schedule representation.
  • MS or PhD in Operations Research, Industrial Engineering, Computer Science, or Applied Mathematics.
  • Experience building integrations across ticketing systems, procurement tools, and production tracking.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media