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Graph Neural Network Internship Jobs in Seattle, WA

Blue Origin

AI Engineer II - Blue Ring

Seattle, WA

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

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 ...

Cisco

Applied AI Scientist

Bellevue, WA · On-site

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 · On-site

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 ...

Amazon

Applied Scientist II - AMZ9971140

Seattle, WA · On-site

$153K - $193K/yr

Extend and apply deep learning architectures (e.g., graph neural networks, transformers, recurrent ... network configuration verification, resource compliance checking, and system reliability assurance.

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How much do graph neural network internship jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for graph neural network internship in Seattle, WA is $19.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is a graph neural network internship?

A Graph Neural Network (GNN) Internship is a position designed for students or recent graduates to gain hands-on experience working with GNNs, a type of deep learning model that processes data structured as graphs. Interns typically participate in research, model development, and the application of GNNs to various problems such as social network analysis, recommendation systems, or molecular property prediction. The internship provides opportunities to collaborate with experienced researchers, learn cutting-edge techniques, and contribute to real-world projects involving graph-based machine learning.

What types of projects or tasks can I expect to work on during a graph neural network internship?

As a Graph Neural Network (GNN) intern, you will typically be involved in projects such as developing and optimizing GNN models for real-world datasets, implementing new neural network architectures, and conducting experiments to evaluate model performance. You may also assist with data preprocessing, feature engineering, and collaborating with data scientists and machine learning engineers to integrate GNN solutions into larger systems. Regular tasks include reviewing recent research, documenting findings, and presenting your results to the team. This internship offers an excellent opportunity to deepen your understanding of advanced machine learning methods while gaining hands-on experience in a collaborative research-focused environment.

What are the key skills and qualifications needed to thrive as a graph neural network intern, and why are they important?

To thrive as a Graph Neural Network Intern, you need a solid background in machine learning, data science, and programming languages such as Python, often supported by coursework or research experience in deep learning and graph theory. Familiarity with frameworks like PyTorch Geometric, TensorFlow, and libraries such as NetworkX, along with experience using Jupyter Notebooks and Git, is typically expected. Strong analytical thinking, problem-solving skills, and effective communication help interns collaborate with research teams and convey complex ideas clearly. These skills and qualifications are essential for contributing to cutting-edge AI projects and advancing research in graph-based machine learning.

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

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

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

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

Graph Neural Network Internship jobs near you
Infographic showing various Graph Neural Network Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $41,270 per year, or $19.8 per hour.

Front-End Engineer III, Leo Network Observability

Redmond, WA • On-site

Amazon
IT Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 7,130 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Good employer

Recommended by students

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Learn more about Amazonexternal

Full-time

Posted 19 days ago

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.

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About Amazon

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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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Benefits

Hours and flexibility

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