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Agent Based Modeling Jobs in San Ramon, CA (NOW HIRING)

Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI ...

Collaborate with product teams to translate complex business needs into agent-based automation ... Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering

Senior AI Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Required : • 5+ years in AI/ML development, with strong exposure to agent-based systems or ... models. • Master's degree or PhD in Computer Science, Electrical Engineering or related field ...

Senior AI Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Required : • 5+ years in AI/ML development, with strong exposure to agent-based systems or ... models. • Master's degree or PhD in Computer Science, Electrical Engineering or related field ...

Head of AI

Palo Alto, CA · On-site

$350K - $500K/yr

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 ...

You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...

You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...

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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Agent Based Modeling information

See San Ramon, CA salary details

$16

$33

$44

How much do agent based modeling jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for agent based modeling in San Ramon, CA is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $44.33 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.

What are popular job titles related to Agent Based Modeling jobs in San Ramon, CA? For Agent Based Modeling jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Agent Based Modeling jobs? Cities near San Ramon, CA with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in San Ramon, CA 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 $70,071 per year, or $33.7 per hour.
Transformative AI Research Economist, Economic Research

Transformative AI Research Economist, Economic Research

Anthropic

San Francisco, CA

Other

Re-posted 5 days ago


Job description

About the Role

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.

You will ground projections in microeconomic signals from the Anthropic Economic Index - usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement - so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system, we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities
  • Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution

  • Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories

  • Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation

  • Analyze questions of income distribution and economic governance under transformative-AI scenarios

  • Contribute to the development of AI-powered research tools for economics

  • Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise

  • Build and maintain relationships with academic institutions, policy think tanks, and other research partners

  • Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have
  • PhD in Economics, or an exceptional candidate close to completion

  • Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics

  • A research record that engages seriously with the possibility of transformative AI - you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against

  • Relevant experience in some of:

    • Macroeconomic modeling and structural estimation

    • Scenario-based and time-series forecasting

    • Task-based approaches to technological change

    • Computational methods, agent-based modeling, or large-scale simulation

    • Income distribution and inequality

    • Using large language models in the research workflow

  • Technical skills including:

    • Proficiency in Python, Julia, or similar for computational economics

    • Facility with AI coding agents as part of a research workflow

    • Comfort learning new technical tools and frameworks

  • Demonstrated ability to:

    • Lead research projects from conception to publication

    • Ship on tight timelines and revise in public as new data arrives

    • Communicate technical findings to diverse audiences

  • Strong interest in ensuring AI development benefits humanity

Some Examples of Our Recent Work
  • Labor market impacts of AI: A new measure and early evidence

  • Anthropic Economic Index Report: Economic Primitives

  • Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption

  • Estimating AI productivity gains from Claude conversations

  • The Anthropic Economic Index

Additional Information

For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.

Deadline to apply: None. Applications are reviewed on a rolling basis