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Graph Neural Network Internship Jobs in Virginia

Cisco

Applied AI Scientist

Arlington, VA · 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

Mclean, VA · 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

Ashburn, VA · 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 ...

Leidos

Senior Data Scientist

Reston, VA

Architect and deploy advanced machine learning models (e.g., Physics-Informed Neural Networks ... network environment. * Understanding of secure cross-domain solutions (CDS), data-transfer ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Architect and deploy advanced machine learning models (e.g., Physics-Informed Neural Networks ... network environment. * Understanding of secure cross-domain solutions (CDS), data-transfer ...

Leidos

Senior Data Scientist

Reston, VA

Architect and deploy advanced machine learning models (e.g., Physics-Informed Neural Networks ... network environment. * Understanding of secure cross-domain solutions (CDS), data-transfer ...

Verisign

Java Software Engineer

Reston, VA · On-site

$53.75 - $73.75/hr

We are a trusted provider of internet infrastructure services for the networked world and deliver ... The system applies state-of-the-art neural language models and natural language processing ...

All JobsGraph Neural Network JobsGraph Neural Network Internship JobsGraph Neural Network Internship Jobs in Virginia

Graph Neural Network Internship information

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

Lead Algorithm & Signal Processing Engineer

STR

Arlington, VA • On-site

$157K - $220K/yr

Other

Posted 2 days ago

New

Job description

About the Team:

The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies.

EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us.

The Role:

As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more.

What You Will Do:

  • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
  • Design and implement models and simulations for advanced RF systems
  • Lead small teams and projects
  • Support business development and proposal writing efforts
  • Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems

Who You Are:

  • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
  • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
  • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years)
  • Experience in two or more of the following areas:
    • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping
  • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
  • Strong mathematical, troubleshooting, written, and verbal communication skills

Even Better:

  • Active Security Clearance
  • Experience with:
    • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms
    • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
    • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution
  • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems
  • Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations

Join EWNC and help shape the future of RF sensing and electronic warfare by developing innovative technologies that transition from advanced research into operational prototype systems. While this position is ideally suited for a Lead Engineer, applicants whose qualifications closely align with the requirements are encouraged to apply. We have opportunities for talented engineers at multiple experience levels in our MA, VA, and OH office. 

Pay Information
Full-Time Salary Range: $157,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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