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Agent Based Modeling Scientist Jobs in Riverside, CA

Cross-Functional Data Modeling: Architect a unified 'Customer 360' schema that harmonizes disparate ... Build the logic for persistent identity resolution and conversation state, ensuring an AI agent can ...

Cross-Functional Data Modeling: Architect a unified 'Customer 360' schema that harmonizes disparate ... Build the logic for persistent identity resolution and conversation state, ensuring an AI agent can ...

Cross-Functional Data Modeling: Architect a unified 'Customer 360' schema that harmonizes disparate ... Build the logic for persistent identity resolution and conversation state, ensuring an AI agent can ...

Senior Machine Learning Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

... and agent-based architectures. What You Will Do AI Infrastructure & Production Systems * You ... model tuning * You have a bachelor's degree in information technology, computer science, or a ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Sr Scientist, Plasma Control

Irvine, CA ยท On-site

$140K - $160K/yr

Do Epic Science TAE is the world's first private fusion energy company, founded in 1998 to ... Knowledge of system design for embedded platforms established on Model-Based Design approaches ...

Data Scientist II

Irvine, CA ยท On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... model-based outputs. Working closely with product managers, engineering teams, and business ...

Data Scientist II

Irvine, CA ยท On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... model-based outputs. Working closely with product managers, engineering teams, and business ...

Data Scientist II

Irvine, CA ยท On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... model-based outputs. Working closely with product managers, engineering teams, and business ...

Showing results 41-60

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 Aug 6, 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 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 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.

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 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.
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:

Software Engineer II (AI Focus)

Parsec Automation Corp.

Anaheim, CA โ€ข On-site

$145K - $165K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

About Parsec
Parsec Automation, LLC is a global leader in manufacturing operations management software. Recognized by Gartner, IDC, and numerous industry awards, Parsec's flagship MES platform, TrakSYSโ„ข, powers efficiency, quality, and compliance improvements at over 11,000 plants across 140+ countries. Manufacturers such as Johnson & Johnson, Merck, Toyota, Procter & Gamble, Hershey, Siemens, and DuPont rely on TrakSYS to manage complex operations with clarity and precision.
Parsec is backed by BVP Forge, part of the $20B Bessemer platform, known for supporting category-defining companies such as LinkedIn, Procore, Shopify, and Toast.
About the Role
We're looking for a Software Engineer II (AI Focus) to help build and expand AI capabilities within our core platform.
This role is hands-on and focused on implementing production-ready AI features, including agent-based workflows and integrations with LLM providers. You'll work within a Microsoft-based, on-prem environment and contribute to building AI functionality that is secure, scalable, and reliable in real-world manufacturing settings.
You'll partner with senior engineers and product teams to deliver AI-powered features, while continuing to grow your experience in modern AI systems and enterprise software development.
Key Responsibilities
Quality, Security & Reliability
  • Follow secure development best practices, including least privilege and data protection
  • Implement validation, error handling, and safe access patterns
  • Contribute to logging, monitoring, and observability for AI features
  • Support testing efforts including:
  • Unit and integration testing
  • Validation of AI and tool interactions

Team Collaboration & Growth
  • Work closely with senior engineers to implement AI features aligned to product requirements
  • Participate in code reviews, design discussions, and team collaboration
  • Assist with troubleshooting and support for AI-related functionality
  • Continue developing skills in AI technologies, the TrakSYSโ„ข platform, and manufacturing systems

AI Development & Implementation
  • Build AI capabilities within a Microsoft-based stack (ASP.NET, .NET services, SQL Server)
  • Implement agentic workflows, including agent runtimes and orchestration logic
  • Develop services that manage:
  • Conversation and task state
  • Tool execution and routing
  • Retries, timeouts, and execution limits
  • Integrate with LLM providers (OpenAI, Anthropic, etc.), including tool/function calling patterns
  • Contribute to building and maintaining tool integrations, including:
  • SQL Server queries and stored procedures
  • Internal APIs and services
  • File/report generation systems

Required Qualifications
  • 3-5+ years of software development experience
  • Experience with .NET (C#, ASP.NET)
  • Familiarity with API design and integration (REST, JSON, etc.)
  • Experience with SQL Server or similar relational databases
  • Understanding of software development best practices (testing, debugging, version control)
  • Exposure to agentic AI systems, MCP, or similar tool/plugin frameworks
  • Experience integrating with LLM APIs or working with AI/ML-powered features
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

Preferred Qualifications
  • Familiarity with Azure OpenAI or other LLM platforms
  • Experience with Semantic Kernel or similar frameworks
  • Experience working in enterprise or on-prem environments
  • Exposure to manufacturing or MES systems

Benefits
  • $145,000 to $165,000 annual salary
  • Variable Bonus based on company and individual performance
  • Hybrid work schedule (3 days in office / 2 days remote)
  • 401(k) with company match
  • 100% company-paid health insurance premiums for employees
  • Flexible vacation / PTO
  • Flexible Spending Account (FSA) plan available for eligible healthcare and dependent care expenses
  • Outstanding team environment