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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 ...

XPO Logistics

Applied AI Scientist - Hybrid

Boston, MA

$100K - $120K/yr

Hands-on experience building applied AI systems, including one or more of: agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model architectures to time-series ...

XPO

Applied AI Scientist - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Hands-on experience building applied AI systems, including one or more of: agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model architectures to time-series ...

XPO Logistics

Applied AI Scientist - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Hands-on experience building applied AI systems, including one or more of: agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model architectures to time-series ...

AGMEDNET INC

Software Engineer

Boston, MA · On-site

Working within team guardrails for agentic AI in the SDLC, the engineer uses agent-based ... Collaborate with and support teammates, including interns, as needed * Use open-source frameworks ...

ApplyMint

Software Engineer

Boston, MA · On-site

$100 - $130/hr

Working within team guardrails for agentic AI in the SDLC, the engineer uses agent-based ... Collaborate with and support teammates, including interns, as needed * Use open-source frameworks ...

New

AG Mednet, Inc

Software Engineer

Boston, MA · On-site

$105K - $135K/yr

Working within team guardrails for agentic AI in the SDLC, the engineer uses agent-based ... Collaborate with and support teammates, including interns, as needed * Use open-source frameworks ...

State Street Global Advisors

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Design, develop, and deploy AI-powered services , including copilots, agent-based workflows, and ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

AG MEDNET INC

Software Engineer

Boston, MA · On-site

$105K - $135K/yr

Working within team guardrails for agentic AI in the SDLC, the engineer uses agent-based ... Collaborate with and support teammates, including interns, as needed * Use open-source frameworks ...

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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 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 • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 246 rated software companies

Job description

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

We are seeking an experiencedSenior or Principal Data Scientistto lead the development of advanced simulation models that power next-generation robotic warehouse systems. In this role, you will build high-fidelity simulations of large-scale robotic fleets,optimizesystem performance, and inform strategic product and operational decisions.

This is a highly cross-functional position spanningdata science, robotics, operations research, and distributed systems, where your work will directlyimpactefficiency, throughput, and scalability of real-world automation systems.

What we do

We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real-world production environments. Our team tackles complex automation and optimization challenges alongside world-class engineers and scientists, with the opportunity to directly influencecutting-edgesystems deployed in the field.

Whatyou'lldo

  • Design and develop simulation frameworksfor robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.

  • Builddiscrete-event and agent-based simulationsto model complex, stochastic environments at scale.

  • Developpredictive and prescriptive modelstooptimizethroughput, latency, and resourceutilization.

  • Partner with robotics, software, and operations teams to:

  • Evaluate new algorithms (routing, task assignment, scheduling).

  • Test system changes before production deployment.

  • Identifybottlenecks and failure modes.

  • Createdigital twinsof warehouse environments to enable scenario testing and capacity planning.

  • Applymachine learning and statistical techniquesto improve simulation realism and calibration.

  • Deliverclear insights and recommendationsto technical and executive stakeholders.

  • Establish best practices formodel validation, experimentation, and reproducibility.

What you'llneed

Required Qualifications

  • MS or PhD inComputer 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.

  • Complex, distributed systems.

  • Strong experience with:

  • Discrete-event simulation (DES)or agent-based modeling.

  • Python(NumPy, Pandas, SciPy) and/or simulation frameworks (e.g.,SimPy,AnyLogic, Arena, or custom tools).

  • Solid understanding of:

  • Probability, stochastic processes, and statistics.

  • 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 Qualifications

  • Robotics, warehouse automation,logistics, or supply chain systems.

  • Fleet optimization or multi-agent systems.

  • Reinforcement learning for decision-making.

  • Path planning, task allocation, and scheduling algorithms.

  • Digital twin architecture.

  • Experience withC++ or high-performance systemsfor large-scale simulation.

  • Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.

  • Background in experimentation platforms or A/B testing in operational systems.

Principal-Level Expectations (in addition to above)

  • Define and drive thelong-term simulation and modeling strategy.

  • Architect scalable simulation platforms used across the organization.

  • Influence product and operational strategy through data-driven insights.

  • Mentor and grow a team of data scientists and engineers.

  • Serve as a subject matter expert insimulation, optimization, and system modeling.

Tech Stack

  • Python (NumPy, Pandas, SciPy,SimPy).

  • Data platforms (Snowflake, Databricks).

  • Visualization (Grafana, Tableau).

  • Cloud infrastructure (GCP).

  • Optional:Python,C#andC++.

Our environment

  • Up to 10% of travel may berequired. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employeeis responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

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About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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