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Graph Neural Network Internship Jobs in Colorado

Cisco

Applied AI Scientist

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Boulder, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Colorado Springs, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Centennial, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Amazon

Software Development Engineer II, DC Bridge

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... and graph networks. We are looking for a Software Development Engineer who is passionate about ...

Amazon

Software Development Engineer II, DC Bridge

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

All JobsGraph Neural Network JobsGraph Neural Network Internship JobsGraph Neural Network Internship Jobs in Colorado

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

AWS Senior Solutions Architect - Charter Communication

ShiftCode Analytics, Inc.

Denver, CO • On-site

$66.75 - $87.50/hr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
ShiftCode Analytics, Inc. is seeking an experienced AWS Senior Solutions Architect to lead the implementation of an AIOps framework for a multi-national telecommunications technology client. The role involves designing and implementing AWS-based AI solutions to enhance network performance and automate operations.
Responsibilities:
• Design and implement an AIOps framework using AWS AI technologies to automate and enhance network operations.
• Integrate machine learning models to predict network outages and optimize performance.
• Develop scalable and reliable AWS cloud architecture that supports AIOps initiatives.
• Incorporate Amazon Bedrock for foundational AI models and Amazon Neptune for graph database solutions.
• Utilize Amazon GNN for graph neural network applications in network topologies.
• Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.
• Design and develop modern cloud native enterprise quality software solutions, such as using microservices, containerization.
• Work closely with cross-functional teams, including network engineers, data scientists, and operations, to implement AIOps solutions.
• Lead technical discussions and workshops to drive AIOps adoption.
• Evaluate and incorporate AWS AI services such as SageMaker, Rekognition, and Comprehend into network operations.
• Leverage AWS's ANO capabilities to automate network monitoring and management.
• Implement feedback mechanisms to continuously improve the AIOps framework.
• Stay updated with AWS's latest offerings and advancements in AI and network technologies.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience in cloud architecture, with a focus on AWS.
• Proven experience in implementing AI/ML solutions in a telecom environment.
• Expertise in AWS services such as EC2, S3, Lambda, SageMaker, CloudFormation, Amazon Bedrock, Amazon Neptune, and Amazon GNN.
• Strong understanding of AI/ML concepts and tools, including agentic AI frameworks.
• Familiarity with telecom network technologies and protocols.
• Excellent problem-solving and analytical skills.
• Strong communication and leadership abilities.
• Ability to work collaboratively in a fast-paced environment.
Preferred:
• AWS Certified Solutions Architect - Professional or similar certification.
• Experience with DevOps practices and tools.
• Knowledge of network automation tools and frameworks.
Company:
ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best and quick services to its clients nationwide. Founded in 2019, the company is headquartered in Tampa, USA, with a team of 51-200 employees. The company is currently Growth Stage.
ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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