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Graph Neural Network Internship Jobs (NOW HIRING)

GMPPU

ERS ML Design Optimization Engineer

Concord, NC · On-site

Build neural network surrogates (e.g., PINNs, graph nets) emulating ERS physics across thermal, electrical, degradation behaviors. * Implement tool-agnostic GA/BO optimization loops for multi ...

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · Remote

$110K - $270K/yr

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...

EnCharge AI

AI Compiler Engineer

$195K - $265K/yr

Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. * Develop compiler optimizations and passes that convert high ...

EnCharge AI

AI Compiler Engineer

$195K - $265K/yr

Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. * Develop compiler optimizations and passes that convert high ...

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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 Sep 10, 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.
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Graph Neural Network Internship jobs near you
Infographic showing various Graph Neural Network Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Audio AI Engineering Intern-Summer 2027

Hillsboro, OR • On-site

Skyworks
Construction • 201 - 500 employees
Learn more about Skyworksexternal

$22.50 - $42/hr

Full-time, Temporary, Internship

Posted 26 days ago

Job description

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 78172 

Description

Skyworks is a prominent semiconductor and technology company that is empowering the wireless networking revolution, connecting people, places, and things around the world. We are looking for a current student who is available to work full-time in our Hillsboro, Oregon office as part of our summer 2027 internship program. You will be working with our AI group to help research and develop cutting-edge speech and signal processing algorithms for edge devices. 

Responsibilities

As part of this team, you will share responsibility for some of the following tasks: 

  • Development of neural networks 

  • Analyze neural network efficiency and performance 

  • Port to and test neural networks on microprocessors and other constrained devices 

  • Develop neural network based real-time audio algorithms that are memory and computationally efficient 

  • Research state of the art neural networks in the audio domain 

Required Experience and Skills
  • Must be enrolled as a degree seeking student. No courses should be taken during the internship unless required by your school. Preferably enrolled in a master’s or PhD program in a STEM related field that involves programming (e.g. Computer Science, Computer Engineering, Mathematics, ...). Bachelor students may be considered if they have professional experience or personal projects applying neural networks to solve complex problems, and/or advanced embedded programming. 
  • Commitment to work onsite for 3 months (May/June - August 2027)
  • Experience with at least one deep learning framework (preferably Tensorflow) 
  • Understanding of common neural network layer types and their mathematical operations 
  • Programming in Python and C/C++ (preferably experience with embedded programming) 
  • Knowledge of bit level representations for integer and float types 
  • Conceptual understanding of computer architecture, memory, and caching 
  • Familiarity with audio/speech/music signals 
  • Proficient in Linux (Ubuntu) 
  • Desire to write clean, maintainable code under version control (Git) 

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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