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Internship Agent Based Modeling Jobs in Boston, MA

LangChain

Deployed Engineer (Boston)

Boston, MA · 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 ...

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

Our vision is to transform engineering simulation by combining physics-based modeling, data-driven ... Understanding of AI agents, multi-agent systems, or agentic workflows. * Exposure to simulation ...

State Street

Sr. AI Developer, VP

Burlington, MA · On-site

$59.25 - $78.25/hr

... agent-based workflows, and automation tools • Build and integrate LLM-based solutions using ... for AI models and pipelines • Apply responsible AI practices (security, explainability ...

Cor Partners

Head of Enterprise Architecture

Boston, MA · On-site

$75 - $96.75/hr

TPA/MGA models a plus) • Expertise in Azure, .NET, cloud-native architecture, and enterprise integration • Hands-on experience with LLMs, AI engineering patterns, and agent-based architectures ...

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Internship Agent Based Modeling information

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 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 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 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 popular job titles related to Internship Agent Based Modeling jobs in Boston, MA? For Internship Agent Based Modeling jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Agent Based Modeling jobs in Boston, MA look for? The top searched job categories for Internship Agent Based Modeling jobs in Boston, MA are:
Internship Agent Based Modeling jobs near you

Data Scientist - Simulation (Senior - Principal)

Symbotic

Wilmington, MA • On-site

Full-time

Re-posted 20 days ago

Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

180th of 242 rated software companies

Job description

Job Summary:
Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models for robotic warehouse systems, focusing on optimizing system performance and informing strategic decisions.
Responsibilities:
• Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
• Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
• Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
• Partner with robotics, software, and operations teams to evaluate new algorithms (routing, task assignment, scheduling).
• Test system changes before production deployment.
• Identify bottlenecks and failure modes.
• Create digital twins of warehouse environments to enable scenario testing and capacity planning.
• Apply machine learning and statistical techniques to improve simulation realism and calibration.
• Deliver clear insights and recommendations to technical and executive stakeholders.
• Establish best practices for model validation, experimentation, and reproducibility.
Qualifications:
Required:
• MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
• Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in simulation, modeling, or systems optimization.
• Experience in complex, distributed systems.
• Strong experience with discrete-event simulation (DES) or agent-based modeling.
• Proficiency in Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
• Solid understanding of probability, stochastic processes, and statistics.
• Knowledge of optimization techniques (LP, MIP, heuristics, metaheuristics).
• Experience working with large datasets and building data pipelines.
• Ability to translate real-world system behavior into computational models.
Preferred:
• Experience in robotics, warehouse automation, logistics, or supply chain systems.
• Knowledge of fleet optimization or multi-agent systems.
• Experience with reinforcement learning for decision-making.
• Familiarity with path planning, task allocation, and scheduling algorithms.
• Understanding of digital twin architecture.
• Experience with C++ or high-performance systems for large-scale simulation.
• Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
• Background in experimentation platforms or A/B testing in operational systems.
Company:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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