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Graph Neural Network Jobs in Tacoma, WA (NOW HIRING)

Familiarity with reinforcement learning concepts or graph neural network applications * Interest or experience in model compression, edge deployment, or resource-constrained inference Base Pay Range ...

AI Engineer II - Blue Ring

Renton, WA · On-site

$135 - $189/hr

Familiarity with reinforcement learning concepts or graph neural network applications. * Interest or experience in model compression, edge deployment, or resource-constrained inference. Base Pay ...

Familiarity with reinforcement learning concepts or graph neural network applications * Interest or experience in model compression, edge deployment, or resource-constrained inference Base Pay Range ...

Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Graph Neural Network information

See Tacoma, WA salary details

$16

$28

$41

How much do graph neural network jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for graph neural network in Tacoma, WA is $28.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $31.25 per hour, depending on experience, location, and employer.

What is a graph neural network?

A Graph Neural Network (GNN) job typically involves designing, implementing, and optimizing neural network models that operate on graph-structured data. Professionals in this role apply GNNs to tasks like recommendation systems, fraud detection, social network analysis, and molecular property prediction. Responsibilities often include data preprocessing, model architecture selection, training, evaluation, and deployment. Strong knowledge of machine learning, deep learning frameworks (such as PyTorch or TensorFlow), and graph theory is essential.

What does a typical project workflow look like for a graph neural network engineer?

A typical project workflow for a Graph Neural Network Engineer involves collaborating with data scientists and domain experts to understand the problem, preprocessing and visualizing graph-structured data, and selecting appropriate model architectures. The role often includes building, training, and evaluating GNN models, iterating on hyperparameters, and deploying models to production environments. Throughout the process, you will engage in code reviews, document findings, and present results to stakeholders. Teamwork and effective communication are essential, as projects frequently require close collaboration with researchers, software engineers, and business units to ensure solutions meet practical needs and performance goals.

What are the key skills and qualifications needed to thrive in the graph neural network position, and why are they important?

To excel as a Graph Neural Network Engineer, you need a strong background in machine learning, graph theory, neural networks, and proficiency in programming languages such as Python. Familiarity with deep learning frameworks like PyTorch or TensorFlow, and experience with specialized libraries such as DGL or PyTorch Geometric are highly valued. Excellent problem-solving skills, teamwork, and the ability to communicate complex concepts to both technical and non-technical stakeholders will help you stand out. These combined abilities enable professionals to design, implement, and deploy cutting-edge GNN models that address complex, real-world data-structure challenges across various industries.

What are popular job titles related to Graph Neural Network jobs in Tacoma, WA?

For Graph Neural Network jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Graph Neural Network jobs in Tacoma, WA look for?

The top searched job categories for Graph Neural Network jobs in Tacoma, WA are:

What cities near Tacoma, WA are hiring for Graph Neural Network jobs?

Cities near Tacoma, WA with the most Graph Neural Network job openings:

Infographic showing various Graph Neural Network job openings in Tacoma, WA as of June 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $59,516 per year, or $28.6 per hour.

Head of Data Science - Identity & Compliance (Seattle)

Socure Inc.

Seattle, WA • On-site

Full-time

Re-posted 4 days ago


Job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph.

In addition to advancing core modeling capabilities, you will spearhead the development of intelligent, agent-driven systems that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.

This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.

What You'll Do
  • Own and drive the data science vision for Identity & Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.

  • Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.

  • Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.

  • Drive the development of graph-based intelligence, including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.

  • Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.

  • Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.

  • Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.

  • Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.

  • Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.

  • Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.

  • Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.

  • 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 identity, compliance, and applied AI.

What You Bring
  • Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.

  • 10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.

  • Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains.

  • Proven leadership experience managing and scaling high-performing data science teams.

  • Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems.

  • Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.

  • Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals.

  • Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes.

  • Hands-on experience with Apache Spark and large-scale distributed data systems.

  • Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.

  • 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.

  • Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.

What You'll Get
  • Work on some of the most challenging and impactful problems in identity and fraud prevention

  • Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents

  • Join a fast-moving, high-caliber team that values innovation and ownership

  • Competitive compensation, equity, and benefits

  • Opportunity to shape the future of digital identity at global scale

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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