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Internship Agent Based Modeling Jobs in California

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 ...

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 ...

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 ...

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

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 ...

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 ...

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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:

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

Internship Agent Based Modeling jobs near you

Applied AI Engineer, Advertising Agents (New Grad)

NewsBreak

Mountain View, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit ;br>
About the Role
Are you a recent graduate excited to apply LLMs and Agent technology to real advertising products from day one? Join our advertising team to help build an AI-driven intelligent account hosting and optimization platform. You'll work alongside senior engineers to develop AI advertising expert systems (AI Agents) that diagnose accounts and safely auto-tune delivery in a closed optimization loop.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your contributions will help maximize advertisers' willingness to spend and platform revenue.
Responsibilities
  • Contribute to the In-house AI Account Manager System: Support the design and implementation of components of the "AI Account Manager," including automated hosting, optimization scheduling, and monitoring across concurrently running advertiser accounts.
  • Help Build Intelligent Diagnosis and Strategy Recommendation Models: Work with performance data and delivery history to help identify account health signals and delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping); assist in using LLMs to generate actionable, auditable account-level tuning strategies.
  • Support Reliability and Measurable Quality: Help build and maintain observability, dry-run safeguards, and offline/online evaluation pipelines that keep optimization quality measurable and catch regressions before they reach live spend.
  • Collaborate and Learn: Work closely with senior engineers, the platform-side ad delivery algorithm team, and product managers, gaining exposure to how AI account management capabilities translate into commercial impact.

Minimum Qualifications
  • Education Background: Bachelor's/Master's degree (recently completed or completing within the next 6 months) in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Work Experience: No professional work experience required; relevant internships, research, coursework, or personal projects involving LLMs, agents, or ML are a plus. Exposure to building or experimenting with agentic systems (e.g., through coursework, hackathons, internships, or personal projects). Solid software-engineering fundamentals: ability to write clean, testable code; familiarity with asynchronoconcurrent programming and typed/data-modeled code.
  • Core Technical Stack: Foundational understanding of LLMs, RAG, tool-use, and agent orchestration concepts (including MCP-style tool ecosystems), gained through coursework, projects, or self-study. Some hands-on experience with structured/schema-validated LLM outputs and modern model APIs (e.g., through class projects or internships). Familiarity with REST/API integration; exposure to deployment tools such as Docker or Kubernetes is a plus. Solid grounding in machine learning and AI fundamentals. Strong analytical skills and eagerness to learn complex problem-solving in a production environment.

Preferred Qualifications
  • Internship or research experience involving large language models, agent-based systems, or recommendation/ads systems.
  • Exposure to advertising or recommendation system concepts and metrics (CPA, ROAS, CVR, CTR, conversions).
  • Personal or academic projects demonstrating initiative in building AI agents or automation tools.

What We Offer
  • A Launchpad for Applied AI Careers: Learn to apply cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem, with mentorship from senior engineers.
  • Direct Commercial Impact: See your contributions reflected in real advertiser growth and the platform's revenue flywheel.
  • Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and the opportunity to learn alongside world-class advertising, AI, and infrastructure engineers.
Benefits
We offer a competitive benefits package:
  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$135,000-$155,000 USD
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