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Agent Based Modeling Jobs in Seattle, WA (NOW HIRING)

Principal Software Engineer

Redmond, WA · On-site

$220K - $331K/yr

Agent-to-Agent (A2A) and Multi-Agent Protocols (e.g., MCP). * Declarative and code-based extensibility models. * Runtime patching, flighting, and dynamic configuration. * Runtime extensibility ...

Home Loan Consultant

Lynnwood, WA · On-site

$175K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Home Loan Consultant

Lynnwood, WA · On-site

$175K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Home Loan Consultant

Lynnwood, WA · Remote

$175K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Showing results 41-60

Agent Based Modeling information

See Seattle, WA salary details

$16

$34

$45

How much do agent based modeling jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for agent based modeling in Seattle, WA is $34.31, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $45.14 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 Seattle, WA? For Agent Based Modeling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Seattle, WA look for? The top searched job categories for Agent Based Modeling jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Agent Based Modeling jobs? Cities near Seattle, WA with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,357 per year, or $34.3 per hour.

Head of Data Science - Document Verification & Biometrics

Socure

Seattle, WA • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking a Head of Data Science to drive AI-powered Document Verification and Biometrics solutions. This role involves leading a team to develop and execute data science strategies that enhance identity verification processes and combat sophisticated threats.
Responsibilities:
• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
Qualifications:
Required:
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
• Proven experience building domain-specific foundation models or large-scale representation learning systems.
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
• Experience with vector databases and embedding-based retrieval systems.
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
Preferred:
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.