ZipRecruiter

Log In

1

Agent Based Modeling Jobs in California (NOW HIRING)

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 ...

Prologis

Program Director, Data & Analytics

Cerritos, CA · On-site +1

Experience incorporating AI, automation, or agent-based workflows into analytics or operations * Experience with product or pod-based delivery models, including working with globally distributed and ...

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 ...

You.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Support AI/ML and agent-based applications by preparing and serving high-quality datasets for RAG pipelines and MCP (Model Context Protocol) integrations * Monitor pipeline performance, troubleshoot ...

General Atomics

Engineer IV

Poway, CA · On-site

$98K - $171K/yr

Background in agent-based modeling, campaign-level analysis, or wargaming. * Demonstrated technical leadership credentials, such as a Professional Engineering License, original publications in ...

KLA

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 ...

KLA

Senior AI Engineer

Milpitas, CA · On-site

$119K - $163K/yr

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

Brahma Consulting Group

Head of AI

Palo Alto, CA

$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 ...

next page

Showing results 1-20

All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in California

Agent Based Modeling information

See California salary details

$14

$29

$39

How much do agent based modeling jobs pay per hour?

As of Jun 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 job makes $10,000 a month without a degree?

Agent-based modeling is a specialized field often used in research, simulation, and data analysis, but it typically requires advanced education or training. Jobs that can pay $10,000 a month without a degree include roles like real estate investors, successful entrepreneurs, or skilled trades such as certain sales positions or tech freelance work, which rely more on experience, skills, and performance than formal education.

What does agent-based modeling mean?

Agent-based modeling is a computational approach used in agent-based modeling jobs to simulate interactions of autonomous agents within a system. It involves creating models where individual entities follow rules, allowing analysis of complex behaviors and emergent phenomena. Skills in programming, such as Python or NetLogo, are often required for developing and analyzing these models.

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 jobs in the US pay 300,000 a year?

Agent-based modeling is a specialized field often found in roles such as data scientists, quantitative analysts, or research scientists, particularly in industries like finance, technology, or government research. These positions typically require advanced skills in programming, statistical analysis, and simulation tools, and salaries can reach or exceed $300,000 for senior or highly experienced professionals in high-demand sectors. Compensation depends on experience, location, and the complexity of the role.

What's the highest paying modeling job?

In agent-based modeling, high-paying roles are typically found in senior research positions, data science leadership, or consulting roles in industries like finance, defense, or technology. These positions often require advanced skills in programming, simulation tools, and a strong understanding of complex systems, with salaries reaching six figures or more depending on experience and location.
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 June 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.
Software Engineer, Machine Learning

Software Engineer, Machine Learning

Ema

San Francisco, CA • On-site

$135K - $200K/yr

Full-time

Posted 10 days ago

Job description

About Ema
Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.
We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.
Who You Are
We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.
You Will
  • Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
  • 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 systems.
  • Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  • Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Minimum Qualifications
  • A Master's degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • At least 2 years of industry experience in building and deploying production-level machine learning models.
  • Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
  • Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
  • Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

Ideally, You'd Have
  • Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
  • Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
  • Familiarity with cloud platforms like GCP or Azure.
  • Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
  • Good understanding of software development principles, data structures, and algorithms.
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • The ability to work collaboratively in an extremely fast-paced, startup environment.

For California Based Candidates
The standard base salary for this position is $135,000 to $200,000 annually.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Apply