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Internship Agent Based Modeling Jobs in California

Booz Allen Hamilton

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

Knowledge of simulation techniques such as discrete event simulation, Monte Carlo simulation, and agent-based modeling. * Secret clearance. * Bachelor's degree. Preferred Skills * 2+ years of ...

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 ...

EdgeAll

Agentic AI

San Jose, CA · On-site

The ideal candidate will have extensive experience designing and developing AI agent-based systems ... Strong understanding of AI/ML concepts, algorithms, models, and frameworks . * Experience with AI ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$160K - $220K/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

$160K - $220K/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 ...

LangChain

Sales Engineer (Bay Area)

San Francisco, CA · On-site

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

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Internship Agent Based Modeling information

What is an internship in agent based modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the typical projects an intern in agent based modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.

What are the key skills and qualifications needed to thrive as an internship agent based modeling, and why are they important?

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

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 Internship Agent Based Modeling jobs in California?

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

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

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

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

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

Internship Agent Based Modeling jobs near you

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

Santa Clara, CA • On-site

Eightfold.ai
See more jobs at Eightfold.aiexternal

$193K - $257K/yr

Full-time

Medical, Dental, Vision

Re-posted 11 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

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