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Agent Based Modeling Scientist Jobs in San Rafael, CA

OpenAI

Quantitative Intelligence Analyst

San Francisco, CA · On-site

$198K - $320K/yr

Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses * Comfortable working with Python ...

OpenAI

Quantitative Intelligence Analyst

San Francisco, CA · On-site

$150 - $230/hr

Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses * Comfortable working with Python ...

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All JobsAgent Based Modeling Scientist JobsAgent Based Modeling Scientist Jobs in San Rafael, CA

Agent Based Modeling Scientist information

See San Rafael, CA salary details

$36.8K

$56.4K

$107.6K

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

As of Sep 5, 2026, the average yearly pay for agent based modeling scientist in San Rafael, CA is $56,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $54,600.00 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 cities near San Rafael, CA are hiring for Agent Based Modeling Scientist jobs?

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

Agent Based Modeling Scientist jobs near you

Founding Machine Learning Engineer

Brahma Consulting Group

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Founding ML Architect

San Francisco, CA


About this role

We are looking for a world-class ML leader to architect and own our AI roadmap. This is a foundational role that will work closely with the founders to define the technical

trajectory across our platform, including code generation, reinforcement learning, layout optimization etc. You'll lead a growing ML team and work cross-functionally to turn

cutting-edge research into usable tools for chip engineers. You should bring deep expertise in ML for chip design, as well as leadership experience in high-performance

engineering teams.


Responsibilities

  • Contribute to building the ML roadmap and research strategy for Architect across RTL and PD domains.
  • Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem
  • reasoning.
  • Lead, mentor, and scale a team of top-tier ML engineers. Guide research direction, implementation standards, and modeling infrastructure.
  • Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can solve.
  • Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment.


Tech stack

Python, PyTorch, RL libraries, Transformers, MLOps, JavaScript, TypeScript, Linux,

RTL Code Generation, Physical Design Automation, Hardware Problem Reasoning,

Agentic Systems, Fine-tuning Models, Multi-agent Orchestration, Reinforcement

Learning