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Agent Based Modeling Scientist Jobs in California

Research Scientist

San Francisco, CA ยท On-site

$140 - $220/hr

The core of our scientific work is the development of physics-based mathematical models of phage-bacteria interaction dynamics -- how phages locate, bind to, infect, and replicate within bacterial ...

Senior AI Agent Engineer

Cupertino, CA ยท On-site

$128K - $177K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

The core of our scientific work is the development of physics-based mathematical models of phage-bacteria interaction dynamics - how phages locate, bind to, infect, and replicate within bacterial ...

$121K - $166K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Senior AI Agent Engineer

Monte Vista, CA ยท On-site

$112K - $154K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

$132K - $182K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Senior AI Agent Engineer

Newark, CA ยท On-site

$117K - $161K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Senior AI Agent Engineer

Stanford, CA ยท On-site

$122K - $168K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Senior AI Agent Engineer

Belmont, CA ยท On-site

$126K - $173K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Senior AI Agent Engineer

Los Altos, CA ยท On-site

$123K - $169K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

$126K - $173K/yr

Design and implement agent-based systems using LLMs, tools, memory, and planning, including ... Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent ...

Showing results 41-60

Agent Based Modeling Scientist information

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 California?

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

What job categories do people searching Agent Based Modeling Scientist jobs in California look for?

The top searched job categories for Agent Based Modeling Scientist jobs in California are:

What cities in California are hiring for Agent Based Modeling Scientist jobs?

Cities in California with the most Agent Based Modeling Scientist job openings:

Infographic showing various Agent Based Modeling Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Eightfold.ai

Santa Clara, CA โ€ข On-site

$193K - $257K/yr

Full-time

Medical, Dental, Vision

Re-posted 3 days ago


Job description

About Eightfold.ai:
Eightfold is a global leader in AI-native enterprise talent intelligence, trusted by the world's largest and most respected Fortune 500 organizations. Our platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. We are defining the next era of agentic talent systems.
What sets Eightfold apart is not just the technology and our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together-in person and across functions-to build systems that scale in the real world. If you're excited to work on hard problems, move with urgency, and raise the bar every day, Eightfold is the place to build agentic systems that transform how the world works.
About the ML Team:
Our AI/ML team is building the core technology that makes our platform autonomous and agentic. We focus on real-world reliability, shipping systems that manage multi-step reasoning and distributed state management at enterprise scale. You will work with a large database of career trajectories to build intelligent agents that proactively assist millions of users across 100+ countries and 30+ different languages.
Responsibilities:
  • Lead the team in: research, design, development, and deployment of advanced AI agents and agentic systems.
  • Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
  • Own, train, build, and deploy cutting-edge deep learning models across all Eightfold products, end to end.
  • Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
  • Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
  • Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
  • Contribute to the team's technical growth and knowledge sharing.
  • Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
  • Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.

Qualifications:
  • Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).
  • Understanding of agent-based modeling, reinforcement learning, and autonomous systems.
  • Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.
  • Experience with large language models (LLMs) and their applications in Agentic AI.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
  • Understanding of distributed system design patterns and microservices architecture.
  • Excellent problem-solving and data analysis skills.
  • Strong communication and collaboration skills.
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
  • Min 5-7+ years of relevant work experience in AI, Machine Learning, and applying data science to real-world use cases. OR
  • Strong track record of taking systems from prototype to production with a focus on scalability and reliability.
  • Knowledge of fine-tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT-LLM).

Desired Skills & Experience:
  • Research experience in agentic AI or related fields.
  • Experience building and deploying AI agents in real-world applications.

Pay Transparency
Please note this role is categorized as hybrid in Zone A: Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role is also eligible for annual bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones (determined by location).
Zone A: Base annual salary range: $193,125 to $257,500 + annual performance bonus up to 15% + preIPO equity (stock options).
Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1, 2025, employees residing near Santa Clara, CA office location will return to the office three days a week.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
#LI-Hybrid