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Graph Neural Network Internship Jobs (NOW HIRING)

$121K - $167K/yr

Artificial neural network training * Programming: Python, C++, MATLAB, Go, PyTorch, TensorFlow, Keras * Image processing * Building graph databases * Building PostgreSQL databases with vector store ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Decatur, AR ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Johnson, AR ยท Hybrid

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Springdale, AR ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Anderson, MO ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Greenland, AR ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Rogers, AR ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Elm Springs, AR ยท On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Noel, MO ยท Hybrid

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Cave Springs, AR ยท Hybrid

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Springdale, AR ยท Hybrid

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

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Graph Neural Network Internship information

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

As of Jun 20, 2026, the average hourly pay for graph neural network internship in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 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.
More about Graph Neural Network Internship jobs
What cities are hiring for Graph Neural Network Internship jobs? Cities with the most Graph Neural Network Internship job openings:
What states have the most Graph Neural Network Internship jobs? States with the most job openings for Graph Neural Network Internship jobs include:
Infographic showing various Graph Neural Network Internship job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, and 98% Full Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Graph Machine Learning Engineer (Network)

Vailexa

Plano, TX โ€ข On-site, Remote

Full-time

Posted 4 days ago


Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring โ€” we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Summary: We are seeking a talented Graph Machine Learning Engineer to join our team and drive the development of innovative graph-based machine learning models. The ideal candidate will leverage their expertise to solve complex problems and enhance our data-driven decision-making capabilities.

Responsibilities:

  • Design and implement graph neural network models to extract insights from large datasets.
  • Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
  • Develop scalable algorithms for graph data processing and analysis.
  • Perform data pre-processing and feature engineering to ensure high-quality model inputs.
  • Stay up-to-date with the latest trends and advancements in graph machine learning.
  • Conduct experiments to evaluate model performance and refine algorithms as necessary.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in machine learning, with a focus on graph-based methods.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
  • Knowledge of graph databases and query languages (e.g., Neo4j, Cypher).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact โ€” we'd love to hear from you.

๐Ÿ‘‰ Apply now and start building your journey with Vailexa.