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Graph Neural Network 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 ...

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 ...

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 ...

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 ...

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 ...

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Graph Neural Network information

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How much do graph neural network jobs pay per hour?

As of May 29, 2026, the average hourly pay for graph neural network in the United States is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $29.09 per hour, depending on experience, location, and employer.

What is a Graph Neural Network job?

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 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 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 cities are hiring for Graph Neural Network jobs? Cities with the most Graph Neural Network job openings:
What are the most commonly searched types of Graph Neural Network jobs? The most popular types of Graph Neural Network jobs are:
What states have the most Graph Neural Network jobs? States with the most job openings for Graph Neural Network jobs include:
Infographic showing various Graph Neural Network job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $55,420 per year, or $26.6 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.