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Agent Based Modeling Jobs in Cambridge, MA (NOW HIRING)

... 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 ...

Head of Enterprise Architecture

Boston, MA · On-site

$75 - $96.75/hr

Lead adoption of LLMs, agent-based architectures, and AI-enabled engineering Technical Leadership ... TPA/MGA models a plus) * Claims experience strongly preferred * Expertise in Azure, .NET, cloud ...

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 ...

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 ...

Implement agent-based AI solutions using the Workato Agentic AI platform * Implement intelligent ... language models (LLMs) * Develop advanced prompting, memory management, and behavior-planning ...

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

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Agent Based Modeling information

See Cambridge, MA salary details

$16

$32

$43

How much do agent based modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for agent based modeling in Cambridge, MA is $32.95, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $43.37 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 is an agent based modeling?

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 are popular job titles related to Agent Based Modeling jobs in Cambridge, MA?

For Agent Based Modeling jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling jobs in Cambridge, MA look for?

The top searched job categories for Agent Based Modeling jobs in Cambridge, MA are:

Infographic showing various Agent Based Modeling job openings in Cambridge, MA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $68,532 per year, or $32.9 per hour.

Data Scientist - Simulation (Senior - Principal)

Symbotic

Wilmington, MA • On-site

Full-time

Re-posted 26 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

184th of 244 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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