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

Blue Origin

AI Engineer II - Blue Ring

Seattle, WA · On-site

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 ...

Blue Origin LLC

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 ...

Blue Origin, LLC

AI Engineer II - Blue Ring

Seattle, WA · On-site

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 ...

Blue Origin LLC

AI Engineer II - Blue Ring

Seattle, WA · On-site

$135 - $189/hr

... graph neural network applicationsInterest or experience in model compression, edge deployment, or resource-constrained inferenceBase Pay Range for:VA applicants is $134,961.00 - $188,945.40WA ...

Cisco

Applied AI Scientist

Bellevue, WA

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 ...

Cisco

Applied AI Scientist

Seattle, WA

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 ...

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How much do graph neural network jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for graph neural network in Seattle, WA is $30.32, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $33.08 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 the most commonly searched types of Graph Neural Network jobs in Seattle, WA?

The most popular types of Graph Neural Network jobs in Seattle, WA are:

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

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

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

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

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

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

Graph Neural Network jobs near you
Infographic showing various Graph Neural Network job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $63,069 per year, or $30.3 per hour.

Front-End Engineer III, Leo Network Observability

Amazon

Redmond, WA • On-site

Full-time

Posted 24 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon Leo is Amazon's Low Earth Orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Leo Network Observability team designs, implements, and operates network visualization, monitoring, and analytics services for Leo Network Operations

Our scope spans satellites, customer terminals, gateways, and terrestrial network infrastructure that connects into public and private networks. We deliver user interfaces, agentic AI agents, temporal graph neural network outage prediction, and data streaming solutions.
We are looking for a talented Senior FEE III to help design and develop Network Observability solutions for operating our advanced global telecom service via space and terrestrial networks. As a front-end engineer on this team, you will collaborate with a mix of software and network engineers and scientists to create user experiences that increase our end-to-end ability to deliver high quality, secure and fault tolerant software used in Low Earth Orbit (LEO) satellites, ground gateways, and Consumer/Enterprise class customer terminals

The candidate must have expertise with modern web development practices and will have demonstrated the capability to deliver best-in-class user experiences that solve some of today's hardest visualization challenges.
Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf.
Key job responsibilities
- Contribute to designing and delivering modern, flexible, scalable user interfaces for monitoring and diagnosing satellite constellations network issues.
- Work with peer teams and customers to design and develop visualization solutions that fulfill the business needs.
- Utilize AWS and other Amazon technologies to deliver highly-available solutions.
- Build and contribute to reusable UI components and design-system patterns that keep the experience consistent across surfaces.
- Own the end-to-end quality of the features you deliver: write unit, component, and integration tests, and validate behavior across browsers and devices.
- Participate actively in code and design reviews, and contribute to technical design discussions within your team.
- Provide operational support for your team's services, helping identify and resolve the root cause of issues.
- Lead and mentor other Front-End Engineers with design planning, implementation, and maintenance.
A day in the life
You will collaborate with various stakeholders to create the world's most innovative products. You will understand operational challenges and existing blind-spots for network observability and be part of a team of scientists and engineers developing tools that fill these gaps

You will join our development and integration efforts and deliver high qualify software for production environments.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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