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Agent Based Modeling Jobs in California (NOW HIRING)

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/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 ...

Eightfold.ai

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

Understanding of agent-based modeling, reinforcement learning, and autonomous systems. * Experience with large language models (LLMs) and their applications in Agentic AI. * Proficiency in ...

TSMC

Senior Agent AI Engineer

San Jose, CA · On-site

$122K - $168K/yr

... behavior modeling, task execution, and collaboration. • Integrate language models (LLMs) with ... based on feedback and performance metrics. • Research and experiment with emerging multi-agent ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

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 ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

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 ...

General Atomics

Engineer VI

Poway, CA · On-site

$116K - $208K/yr

Familiarity with agent-based modeling, campaign-level analysis, or wargaming. * In-depth understanding of military concepts of operations (CONOPS), Joint All-Domain Command and Control (JADC2), or ...

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Agent Based Modeling information

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$14

$29

$39

How much do agent based modeling jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for agent based modeling in California is $29.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $39.13 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 the most commonly searched types of Agent Based Modeling jobs in California? The most popular types of Agent Based Modeling jobs in California are:
What are popular job titles related to Agent Based Modeling jobs in California? For Agent Based Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in California look for? The top searched job categories for Agent Based Modeling jobs in California are:
What cities in California are hiring for Agent Based Modeling jobs? Cities in California with the most Agent Based Modeling job openings:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in California as of July 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,881 per year, or $29.8 per hour.
Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

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

Anywhere Real Estate

Santa Clara, CA • On-site

$232K - $310K/yr

Full-time

Medical, Dental, Vision

Posted 13 days ago

Anywhere Real Estate rating

8.0

Company rating: 8.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

51st of 162 rated real estate companies

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 AII/ML Team
Our AI/ML team is building the core technology that makes our platform autonomous and agentic. This team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and focus on real-world reliability, shipping systems that manage multi-step reasoning and distributed state management at enterprise scale.
You will work with enormous data sets 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 6-10-+ years of relevant work experience in AI, Machine Learning, and applying data science to real-world use cases.
  • 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 onsite or 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: $232,000 to $310,000 + annual performance bonus up to 20% + 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.
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