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Graph Neural Network Internship Jobs (NOW HIRING)

$121.80K - $167.20K/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 ...

Staff, Data Scientist

Johnson, AR · 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 ...

Senior, Data Scientist

Centerton, AR · 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

Springdale, AR · 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 ...

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

Goshen, AR · 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

Springdale, AR · 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

Tontitown, AR · 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 ...

Senior, Data Scientist

Bella Vista, AR · 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 ...

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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 May 29, 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 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 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 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.
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 May 2026, with employment types broken down into 28% Internship, 66% Full Time, and 6% Part Time. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.
Senior AI/ML Engineer SE4

$121.80K - $167.20K/yr

Full-time

Posted 11 days ago


Job description

Epsilon C5I, a 100% employee-owned company founded in 1998, is seeking a Senior AI/ML Engineer (SE4) to join our team as we advance the State-of-the-Art in artificial intelligence for the intelligence community and autonomy applications. Our products are used to improve our nation's capability by improving decision making that currently relies on extensive human interaction within the US Air Force, Space Force, and Department of Defense.
If you have a passion for excellence in engineering and enjoy working on challenging projects in a fast-paced, team-oriented environment - read on!
What You'll Do:
  • Design and train neural networks for various applications
  • Analyze data, manipulate 1-dimensional, 2-dimensional, and 3-dimensional data
  • Predict results and compare with trained outcomes
  • Conduct post processing and data reduction
  • Write analysis reports and develop briefings
  • Work independently and in a team environment
  • Lead a team of engineers
  • Mentor junior engineers

Required Qualification:
  • Master's degree in computer science, computer engineering, or related field
  • 10 years of software engineering experience with a strong background in the following:
  • Applicants must have an active DoD Top Secret Security Clearance, with SCI eligibility.
  • Pursuant to the various government contractual requirements, all applicants must be U.S. Citizens.
  • Artificial neural network training
  • Programming: Python, C++, MATLAB, Go, PyTorch, TensorFlow, Keras
  • Image processing
  • Building graph databases
  • Building PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability
  • Identifying and acquiring data, and data wrangling, for neural network and transformer training and prompting
  • Building Graph Neural Network (GNN) framework, training GNNs, and extracting embedding vectors and likelihoods
  • Building Vision Transformer framework, training transformers, and extracting embedding vectors and likelihoods - experience with CLIP and LLaVA is a plus
  • Strong problem solving and critical thinking skills.
  • Effective oral and written communication skills.

Why Work for Epsilon C5i?
  • We are a 100% employee-owned company.
  • We have more than 20 locations serving the Department of Defense, Department of Energy, Department of Homeland Security, non-profit and commercial customers.
  • The Dayton division has recently been named as one of only five prime awardees for the 10-year, $4.7 billion NOVASTAR contract supporting the National Air and Space Intelligence Center (NASIC), WPAFB, Ohio

ADA Notations:
  • Regular communication (hearing/speaking).
  • Noise conditions range from very quiet to very noisy.
  • Prolonged use of computer (typing/keyboarding).
  • Frequently required to sit for long periods of time, stand, and walk.

Ability to travel by car, air or other means of transportation, if required.
Epsilon Systems Solutions, Inc. is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.